BACKGROUND:

British Heart Foundation Manchester Centre of Research Excellence at the University of Manchester

The British Heart Foundation (BHF) has been awarded one of its prestigious Centres of Research Excellence (CRE) to The University of Manchester. This competitive award recognises the internationally leading position of cardiovascular science at our University. The Centre is interdisciplinary, involving not only basic cardiovascular scientists and clinicians, but colleagues in inflammation biology, data science, computer science and engineering.

The BHF is one of the largest charitable funders of heart and circulatory research in the world. BHF funds around half of all the cardiovascular research performed in the UK and focuses its resources on scientifically excellent projects with a potential to benefit the health of people with, or at risk of, cardiovascular disease.

Manchester Biomedical Research Centre (BRC):

The National Institute of Health and Care Research (NIHR) funds Biomedical Research Centres (BRCs) as experimental medicine centres of excellence via competitive application every five years. The Manchester Biomedical Research Centre (BRC) was renewed for the 2022-2027 period to provide experimental medicine infrastructure funding across Greater Manchester, Lancashire and South Cumbria.

Contracted by the NIHR, Manchester University NHS Foundation Trust (MFT) host the BRC in partnership with the University of Manchester and also with The Christie NHS Foundation Trust, Northern Care Alliance NHS Foundation Trust, Greater Manchester Mental Health NHS Foundation Trust, Blackpool Teaching Hospitals NHS Foundation Trust and Lancashire Teaching Hospitals NHS Foundation Trust. Manchester BRC drives forward experimental medicine across a range of research themes which are grouped into four clusters: Inflammation, Cancer, High Burden Under Researched Conditions and Disease Complexity as areas where the region has demonstrable strength and which will work collaboratively to improve patient outcomes and embed, build and accelerate personalised health and care for all.

This role is jointly supported by the BHF Manchester Centre of Research Excellence and NIHR Manchester Biomedical Research Centre (BRC) through its Inflammation Cluster, with contributions from three key research themes:

• Integrated Cardiovascular Medicine
• Rheumatic and Musculoskeletal Disorders
• Inflammation cluster

The successful candidate will work under the supervision of Professors Andrew Morris and Maciej Tomaszewski, and other colleagues from and BHF Manchester CRE and NIHR Manchester BRC

Our Future Health:

Our Future Health is a collaborative project between the private sector and the public. It has recruited more than two million participants in the UK. Their clinical data have been triangulated with DNA-derived information and are now accessible to UK based researchers. In addition to nearly one million biobanked samples, the dataset includes health information from questionnaires, linked health record data and clinical measurements. Our Future Health are committed to increasing inclusivity of under-represented demographic groups (e.g. non-white ethnicity), providing a more representative perspective of UK population diversity than UK Biobank.

RESPONSIBILITIES:

This role offers a unique opportunity to work on a pioneering project using the Our Future Health dataset, which includes genotypic, clinical and questionnaire data from over two million UK participants. The project will focus initially on investigating the genetic determinants of inflammatory conditions including cardiovascular disease and type 2 diabetes. The successful candidate will develop and test an operational pathway for accessing and analysing Our Future Health data, identify practical challenges, and evaluate the dataset's practical utility for commonly conducted computational experiments, such as genome-wide association studies.

Main Responsibilities:

• To identify and support development of new computational approaches to data analysis with an emphasis on genomics and genome-wide association studies
• To conduct data analysis using state-of-the-art computational, statistical and bioinformatic methods
• Analyse large-scale genomic and clinical datasets.
• To take responsibility for the validity and reliability of data at all times
• Develop and apply statistical models to identify genetic associations.
• To maintain accurate and complete records of all findings
• To write regular internal reports
• To present findings from the research projects in oral and poster formats at national and international meetings
• To write up findings of research work for publication in high impact journals
• To contribute to development of grant applications for research funding from competitive external sources
• Develop an operational pathway to access Our Future Health data
• Identify and address the early hurdles in data access and analysis
• Test the Our Future Health dataset from the perspective of practical utility
• To supervise practical work and advise students on computational/bioinformatic analysis
• To take responsibility for organising resources and effective decision making in support of research
• To attend relevant training, workshops and conferences as necessary
• To be an active team-member and set positive examples by showing a commitment to achieving results, encouraging and supporting junior members of the team and raising suggestions for continuous improvement
• To promote the reputation of the department, Faculty and wider University
• Work collaboratively with supervisors and interdisciplinary teams across the Faculty, BRC, BHF CRE and external partners

Other Duties:

• To undertake appropriate administration tasks
• To attend relevant meetings
• To actively read the scientific literature relating to (and around) the project
• To undertake any necessary training and/or development
• To maintain an up-to-date knowledge of relevant statutory Health and Safety legislation and recommendations and attend safety training as required
• To always act in accordance with the University's policies and procedures relating to Health and Safety, Equal Opportunities, and all other policies and procedures that apply to the post.
• To understand and engage with the University's social responsibility agenda and contribute, as appropriate, to making a positive difference to the world locally, nationally and internationally.
• To undertake any other duties commensurate with the grade of the post as directed by PI/Supervisor

REQUIREMENTS:

Essential Skills, Knowledge and Experience:

• PhD (or soon to be completed) in computational biology, bioinformatics, statistical genetics, statistics, computer science, applied mathematics, or a related field.
• Extensive and up-to-date theoretical and practical knowledge in computational biology, genetics, statistics, bioinformatics
• Experience in performing, and interpreting results of, large genome-wide association studies.
• Excellent programming skills in e.g. C, Perl, R, Python
• Knowledge and prior experience of work with high performance computation environments Previous experience in projects related to UK Biobank or other biobanks with genetic data
• Ability to lead on efficient planning, optimising and progressing projects and communicating findings
• Excellent interpersonal and communication skills and ability to work with colleagues at all levels
• Strong time management and organisational skills
• Good written and spoken English
• A willingness to contribute to the work of others by offering practical and intellectual help
• Strong recent journal publication record (commensurate to career stage)
• Previous experience of evaluating complex data

Desirable Skills, Knowledge and Experience:

• Previous experience presenting research at national or international conferences
• Success in securing grant funding
• Prior interests/experience in cardiovascular or metabolic disease research

TERMS:

2 Year Fixed Term

LOCATION:

Manchester UK

COMPENSATION:

£37,694 - £46,049 per annum, depending on relevant experience

HOW TO APPLY:

Apply via the University of Manchester recruitment website - https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=34680

DEADLINE:

20/03/2026

BACKGROUND:

SeCore Biotech Limited is building an AI-powered platform for early canine cancer detection and personalised neoantigen vaccine design. The platform analyses four genomic signals from a routine canine blood draw – cell-free DNA concentration, fragmentomics entropy, copy number variation, and methylation deviation – and returns a breed-stratified cancer risk score on a 0-10 scale within 24-48 hours.

For high-risk cases, the platform automatically initiates a Phase 2 pipeline that identifies tumour-specific neoantigen peptide candidates using somatic variant calling, DLA allele typing, NetMHCpan binding prediction, AlphaFold-Multimer structural validation, and a proprietary QSA composite ranking formula. The top-ranked candidates are dispatched as a personalised vaccine design pack to a GMP peptide manufacturer.

The company holds a UK patent application covering the detection and vaccine design methodology (31 claims filed). The clinical software platform is live at app.secorebiotech.ai. The Python IP pipeline modules are production-ready with 109 tests passing. The FastAPI backend is fully authenticated and rate-limited.

What does not yet exist – and what this role is specifically hired to build – is the bioinformatics pipeline infrastructure that takes real canine blood sample sequencing data and processes it through the nine analytical stages to produce the feature vector that feeds the ML scoring model. That is the critical path to the first real clinical detection result.

RESPONSIBILITIES:

The SeCore platform has two phases. Phase 1 is the detection pipeline – nine stages that process whole genome sequencing data from a canine blood sample. Phase 2 is the vaccine design pipeline – eight stages that identify personalised neoantigen candidates. This role covers both.

PHASE 1 – DETECTION PIPELINE (9 STAGES)

Stage Tool Your Responsibility

S1 FastQC Containerise, set canine-specific QC thresholds (Q30 ≥ 85%, mapping ≥ 90%)
S2 Trimmomatic Containerise, configure Illumina adapter removal for 150bp PE reads
S3 BWA-MEM2 Containerise, index CanFam4 reference genome, tune alignment parameters
S4 GATK MarkDuplicates Containerise, set optical duplicate distance (2500px for NovaSeq)
S5 pysam + ichorCNA Implement cfDNA quantification and tumour fraction estimation for canine
S6 Custom Python (SeCore IP) Implement fragmentomics entropy scorer – fragment length distribution analysis
S7 CNVkit Containerise, configure for canine genome, produce copy number burden score
S8 Bismark Containerise, configure canine bisulphite alignment, methylation deviation scoring
S9 Custom Python (SeCore IP) Implement signal normalisation using Cancer Risk Library breed-age baselines

PHASE 2 – VACCINE DESIGN PIPELINE (8 STAGES)

Stage Tool Your Responsibility

V1 GATK Mutect2 Implement tumour-normal somatic variant calling, tune filtering parameters
V2 Ensembl VEP 111 Configure CanFam4 VEP cache, annotate variants with protein consequences
V3 SeCore Python (built) Integration only – peptide generator already written and tested
V4 OptiType (adapted) Adapt DLA allele typing for canine DLA-88 and DLA-DQ alleles
V5 NetMHCpan 4.1 Containerise with canine DLA pseudosequences (already assembled in V5 module)
V5b AlphaFold-Multimer Configure GPU pipeline, model weights, pLDDT and RMSD threshold validation
V6 PyTorch model Collaborate with ML engineer on immunogenicity model architecture and training
V7/V8 SeCore Python (built) Integration only – manufacturability scorer and QSA ranker already written

ORCHESTRATION AND INFRASTRUCTURE

• Write the Nextflow pipeline definition (.nf file) chaining all stages S1-S9 and V1-V8
• Configure AWS Batch job queues, compute environments, and spot instance strategies
• Store and manage the CanFam4 reference genome and indexes in S3
• Write Dockerfile for each stage using official bioconda or tool-specific base images
• Push all containers to Amazon ECR
• Write the S3 manifest format passed between stages
• Connect the pipeline output to the FastAPI genomics service (already built)

Detailed Scope of Work

1. Reference Data Setup

• Download CanFam4 reference genome (GCA_011100685.1) and store in S3
• Generate BWA-MEM2 index (~15GB), GATK sequence dictionary, samtools fai index
• Download Ensembl VEP 111 cache for CanFam4 (~8GB)
• Configure dbSNP canine variant database for GATK BQSR
• Document all S3 bucket paths and versioning strategy

2. Docker Container Development

• One container per pipeline stage – 9 for Phase 1, 5 for Phase 2 (V1, V2, V4, V5, V5b)
• Each container: tool pre-installed at a pinned version, health check, entrypoint script
• Containers must accept S3 input paths and write outputs back to S3
• All containers published to Amazon ECR with semantic version tags
• Total estimated containers: 14

3. Nextflow Pipeline

• Write pipeline.nf covering the full S1-S9 detection workflow
• Write vaccine.nf covering the V1-V8 vaccine design workflow
• Handle stage retries, failure logging, and QC gate logic (Q30/mapping thresholds)
• Write nextflow.config for AWS Batch executor with spot interruption handling
• Test with synthetic canine FASTQ input before any real samples

4. Parameter Tuning – Canine-Specific

• GATK Mutect2 somatic calling: minimum VAF, read depth, strand bias filters for canine
• ichorCNA tumour fraction: adapt training panel of normals for canine cfDNA
• CNVkit: build canine reference coverage baseline from normal samples
• Methylation thresholds: define deviation scoring relative to breed-age baselines
• These parameters require biological judgement – this is the most critical part of the role

5. Validation

• Validate Q30/mapping/duplicate rates against published canine WGS benchmarks
• Validate somatic variant calls against known canine cancer driver mutations (e.g. TP53, BRCA2)
• Validate cfDNA quantification against published canine liquid biopsy literature
• Document sensitivity and specificity estimates for each signal
• Write a validation report suitable for inclusion in the patent continuation and regulatory submissions

6. Cancer Risk Library

• Define the data schema for the breed-age population baseline library
• Implement the z-score normalisation formula in Stage S9
• Seed initial baselines from published canine WGS literature where available
• Design the library update process as retrospective cohort data accumulates

7. Integration with SeCore Platform

• The FastAPI genomics service (already built) expects a webhook from the lab and then submits an AWS Batch job
• Connect the Nextflow pipeline to the FastAPI job submission endpoint
• Ensure SSE status updates (already built) reflect real pipeline stage completion
• Ensure the S3 manifest from Stage S9 maps to the feature vector expected by the SageMaker ML scorer

REQUIREMENTS:

ESSENTIAL – MUST HAVE

• PhD or MSc in Bioinformatics, Computational Biology, Genomics, or a closely related field
• Minimum 3 years of hands-on experience running NGS pipelines in a research or clinical setting
• Direct experience with BWA, GATK, and Samtools in production – not just academic coursework
• Experience writing Nextflow or Snakemake workflow definitions
• Strong Python – able to write and debug bioinformatics scripts independently
• Experience with Docker container development and Docker in bioinformatics contexts
• Familiarity with AWS (S3, Batch, EC2) or equivalent cloud compute platform
• Experience with somatic variant calling (tumour-normal or tumour-only)
• Understanding of cfDNA biology and liquid biopsy methodology

HIGHLY DESIRABLE – STRONG PREFERENCE

• Experience with canine genomics or veterinary bioinformatics
• Experience with NetMHCpan or other MHC binding prediction tools
• Experience with AlphaFold or structural protein prediction
• Experience with CNVkit or ichorCNA copy number analysis
• Experience with Bismark or WGBS methylation analysis
• Experience in a clinical or regulated environment (GCP, CLIA, or equivalent)
• Experience with neoantigen identification for personalised cancer vaccine programmes
• Knowledge of canine MHC (DLA) allele biology

NICE TO HAVE

• Experience with Ensembl VEP annotation
• Experience with Nextflow Tower or Seqera Platform for pipeline monitoring
• Familiarity with AWS Batch spot instance configuration
• Published research in cancer genomics, liquid biopsy, or immunogenomics

TERMS:

• Remote-first. UK timezone strongly preferred for overlap with clinical partners.
• Direct access to the founder and software team via Slack and weekly calls.
• Full access to all three GitHub repositories (Secore-Platform, secore-api, secore-pipeline).
• AWS account provided with appropriate IAM permissions and a budget for compute.
• NetMHCpan commercial licence being applied for – available before V5 work begins.
• CanFam4 reference genome download and S3 storage costs covered by SeCore.
• AlphaFold model weights (~500GB) download and GPU instance costs covered by SeCore.
• Technical blueprint and full architecture documentation provided on day one.

COMPENSATION:

Contract based, $300-600 a day

HOW TO APPLY:

Please send the following to alan[at]secorebiotech.ai with the subject line: Bioinformatician Application – SCB-BIO-001

• Your CV or LinkedIn profile
• A brief paragraph (4-6 sentences) describing a Nextflow or Snakemake pipeline you have built, what tools it ran, and how you validated the biological outputs
• Links to any relevant GitHub repositories or published papers
• Your availability and preferred engagement structure (contract rate, hours per week, start date)

Shortlisted candidates will be asked to complete a short technical assessment: given a canine VCF file, call somatic variants using GATK Mutect2 and produce a filtered output. This takes approximately 2 hours and is paid.

DESCRIPTION

The Department of Medicine at the Stanford University School of Medicine is recruiting a Division Chief of Computational Medicine for an academic appointment as Associate Professor or Professor of Medicine in the University Medical Line, University Tenure Line, or Non-Tenured Line (Research) at Stanford University School of Medicine. The Chief will provide strategic leadership, driving innovation in artificial intelligence and machine learning, computational modeling, and statistical methods, and their application to medical decision-making across the full spectrum of research and care---from understanding molecular mechanisms to improving patient outcomes. The Chief will lead the Division's research and educational missions, fostering a culture of scientific excellence, collaboration, and translational impact. We seek a candidate who combines proven leadership with an outstanding record of academic accomplishment, a deep commitment to research and education, an understanding of the complexity of academic medicine, and the creative vision to help grow and maintain a premier Division of Computational Medicine.

Candidates should be accomplished physician investigators or scientists with a national/international reputation. Candidates should hold an MD, MD/PhD, or PhD degrees or equivalent. Candidates should have the ability to harness AI to shape the future of computational modeling and statistical methods to understand, predict and individualize medical decision-making across the spectrum from molecular mechanisms to clinical care. The Chief will be expected to recruit additional faculty as needed to support both laboratory and clinical research. The Chief is also expected to strengthen fellowship programs and to increase its focus on the research opportunities so abundant at Stanford. Established and emerging leaders in the field are highly encouraged to apply.

HOW TO APPLY

For more information about the position, including required qualifications and application materials, go to: https://apptrkr.com/6927966

Applications will be reviewed beginning April 1, 2026, and accepted until position is filled.

For questions, please contact Cynthia Llanes, Faculty Affairs Manager for Recruitment at cllanes[at]stanford.edu for more information

POLICIES

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access[at]stanford.edu.

Imaging Specialist, Guidehouse Digital LLC, McLean, VA. Apply machine learning, data mining, and image processing techniques to extract meaningful information from existing infectious disease portal program. Test and analyze image analysis pipelines. Oversee incoming and outgoing image data and the image database. Generate reports to review image analysis results. Perform image Quality Assurance ("QA")/Quality Control ("QC") to provide image quality feedback. Assist team with illustrating imaging data using computational techniques. Provide print quality graphics and data visualizations. Document collaborative and consultant assistance and training provided to researchers.

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.

MINIMUM REQUIREMENTS

Master's degree, or foreign equivalent degree, in Science, Statistics, Data Science, Bioinformatics or a related field and two (2) years of related work experience.

Must have experience with/in each of the following:

• Use data processing, analysis software, and visualization tools including MS SQL, No-SQL databases, R, SAS, and MatLab,
• Knowledge in Python, PHP, and Java,
• Deep Learning, Data Exploration, Machine Learning, and Programming and Research and,
• Analyze data using statistical methods including: regression, clustering, decision trees, random forests, K-nn, PCA, SVM, or deep learning.

Telecommuting permitted.

To apply, please email resume to: gh-jobs[at]guidehouse.com and reference: VA0061.

BACKGROUND

Are you driven by curiosity, energized by ambiguity, and passionate about transforming healthcare? Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is searching for a bold, entrepreneurial-minded Applied Data Scientist – Regulatory and Statistical for a dynamic, one-year project to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma.

You'll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML – fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer.

IDEAL CANDIDATE

• Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow).
• Skilled in survival or clinical modeling; thrive where rigor meets speed.
• Startup thinkers with a thirst for discovery.
• Individuals who thrive in fast-paced, risk-friendly environments.
• Problem solvers who see challenges as opportunities.
• Team players eager to see their ideas put into action.

RESPONSIBILITIES

• Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging).
• Collaborate with engineers to define and extract features.
• Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards).
• Translate results into clinician-friendly insights and contribute to IP and regulatory filings.

CREDENTIALS & QUALIFICATIONS

Master's degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.

Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments.

Familiarity with Snowflake or modern data-engineering workflows preferred.

TERMS

One Year

LOCATION

Tampa, must relocate

ABOUT US

Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

COMPENSATION

$116k - $147k

HOW TO APPLY

Apply online: https://moffitt-cancer-center-careers.hctsportals.com/jobs/2110848-applied-data-scientist-regulatory-and-statistical

DESCRIPTION

The Department of Bioinformatics and Genomics, College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a tenure-track Assistant Professor position beginning Fall 2026. Applicants for this position must hold a Ph.D. in the computational, biological, or related sciences. They should demonstrate excellence in research via a strong publication record, the potential to secure funding, and a commitment to education. The successful candidate will be expected to develop and maintain an externally-funded research program involving Ph.D., Masters, and undergraduate students. We welcome applications from qualified researchers working in any area of bioinformatics whose research will complement and expand current department strengths. Example research areas include but are not limited to: human, model, or non-model organism genomics, precision medicine, statistical genetics, cloud computing approaches in bioinformatics, computational plant genetics, microbiome analysis, phylogenomics, or computational/theoretical ecology.

HOW TO APPLY

Anticipated start is in Fall 2026. Detailed description of the position and the application process is available at https://jobs.charlotte.edu/postings/65031.

ABOUT US

UNC Charlotte is located within the city of Charlotte, one of the top five cities to live in the U.S. according to 2024-2025 rankings by U.S. News & World Report. Charlotte offers an ideal combination of rapid economic growth, cultural vibrancy, and Southern charm. Home to 18 Fortune 500 and 1000 companies, the city boasts a flourishing economy led by thriving financial and healthcare sectors. Charlotte provides residents with temperate weather, affordability, and a rich cultural scene, including: museums, parks, professional sports teams, and a fast-growing brewery industry. Charlotte is a welcoming community and has a high quality of life.

POLICIES

The University of North Carolina at Charlotte is committed to equality of educational and employment opportunity and does not discriminate against applicants, students, or employees based on any protected status.

BACKGROUND

The Department of Biology at SUNY Geneseo invites applications for a tenure track position at the rank of Assistant Professor to begin in August 2026. The department seeks a scientist with training in Bioinformatics or Computational Biology with a passion for teaching who will contribute to the broad education in biology we provide to our majors and to the college community. A strong applicant will demonstrate an ability to contribute to Geneseo's growing expertise in the areas of data analytics, bioinformatics, and computational biology. This is an in-residence 3-3 teaching position that may require teaching in multiple modalities including in-person laboratories depending on the needs of the department and college.

Inquiries may be directed to Josie Reinhardt, Search Committee Chair, at reinhardt[at]geneseo.edu. Applications must be received by November 26, 2025, for full consideration. It is anticipated that initial interviews will be conducted virtually with campus interviews to follow.

RESPONSIBILITIES

The duties of the position include:

• Teaching required courses in residence in the Biology programs and/or non-majors biology, and elective courses in bioinformatics or computational/data-intensive biology
• Developing and maintaining a research program in Bioinformatics or Computational Biology that engages undergraduate students from all backgrounds and generates scholarly products appropriate to the field. Faculty are expected to apply for external funding for continuing appointment and promotion.
• Academic advising and service to the department, the college, the community, and profession, including contributing to curriculum development in Bioinformatics or Computational Biology

REQUIREMENTS

Required Qualifications:

• Evidence of interest and ability to teach coursework at the undergraduate level including Bioinformatics and Computational Biology and other courses in Biology.
• Potential to create and maintain a research program in Bioinformatics or Computational Biology that engages undergraduate students at a primarily undergraduate institution (PUI)
• A commitment to fostering a working and teaching environment that welcomes all
• PhD in relevant discipline (Biology, Chemistry, Biochemistry, Bioinformatics, Computer science, etc). "All but Degree" candidates will be considered, but the degree must be in hand by the time of appointment (September 1, 2026)
• Candidates for this position must be eligible to work in the United States. VISA sponsorship is not available.

PREFERENCES

• Teaching experience and/or contributions to curricula in Bioinformatics or Computational Biology, or related courses
• Research publications in peer-reviewed formats as appropriate to the field
• Experience mentoring undergraduate students in research
• Demonstrated engagement with building a culture of belonging in the workplace and/or teaching environments
• Postdoctoral and/or professional experience in Bioinformatics or Computational biology

TERMS

Full-Time Term Tenure Track 2 year initial position starting 09/01/2026

LOCALE

Geneseo, NY

HOW TO APPLY

To apply, submit an online faculty application at https://jobs.geneseo.edu.

Please limit all documents except the CV to five pages total and address the required and preferred qualifications throughout. The application should include:

• A Curriculum Vitae (CV)
• A cover letter that addresses the required and any preferred qualifications
• A statement of teaching interests and pedagogy
• A research statement that addresses plans to include undergraduate students
• In addition, applicants should be prepared to provide the contact information for three individuals who have agreed to supply a letter of reference.

DEADLINE

11/26/2025

OVERVIEW:

The https://www.simonsfoundation.org/flatiron/center-for-computational-biology/ (CCB) of the https://www.simonsfoundation.org/'s https://www.simonsfoundation.org/flatiron is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its https://www.simonsfoundation.org/flatiron/center-for-computational-biology/structural-and-molecular-biophysics-collaboration/ and https://www.simonsfoundation.org/flatiron/center-for-computational-biology/biomolecular-design/ groups for a joint appointment in 2026, as part of the Molecular Ensemble Sampling and Simulation (MESS) collaboration.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see https://www.simonsfoundation.org/flatiron/center-for-computational-biology/.

The Structural & Molecular Biophysics group uses long timescale molecular dynamics (MD) simulations, integrated with experimental observables (especially cryo-electron microscopy data), and machine learning tools to better capture the dynamics of biological macromolecules and to understand their function. Complementing this work, the Biomolecular Design group applies the current understanding of the theory of protein folding and function to design new, synthetic heteropolymers, built from exotic chemical building blocks, which fold into new structures inaccessible to natural proteins, and which perform new functions. In addition to giving rise to useful new molecules that can serve as drugs, nanomaterials, or catalysts, this also serves as the ultimate test of our understanding of protein folding.

Together through the Molecular Ensemble Sampling and Simulation (MESS) collaboration, the groups are working together to advance computational methods for the design and understanding of molecular motion, and addressing current obstacles to accuracy and tractability. The successful candidate will carry out a research project to advance these goals. Particular foci include 1) engineering open-source software infrastructure to facilitate analysis of macromolecular motion and design of motile macromolecules, 2) integration of physics-based simulation and machine learning methods, 3) development of enhanced approximation methods (implicit solvation, coarse-graining, etc.) to improve the tractability of currently expensive calculations, 4) the incorporation of molecular design tools to interpret cryo-EM data, or 5) the design of molecules of potential medical interest.

Strong applicants with backgrounds in computational biology/biochemistry/biophysics, applied and computational mathematics, computer science/engineering, machine learning, and related fields are particularly encouraged to apply.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.

Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/.

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.

QUALIFICATIONS:

Education:

• Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements:

• Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION AND BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

1. Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
2. Curriculum vitae with publications list and, if relevant, links to software
3. Research statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
4. Two (2) letters of recommendation

To apply, please visit: https://apptrkr.com/6664823

Applications for available positions that begin in 2025 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 30, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCB staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers that are part of the MESS collaboration.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com

OVERVIEW:

The https://www.simonsfoundation.org/flatiron/center-for-computational-biology/ (CCB) of the https://www.simonsfoundation.org/'s https://www.simonsfoundation.org/flatiron is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its https://www.simonsfoundation.org/flatiron/center-for-computational-biology/biophysical-modeling/ and https://www.simonsfoundation.org/flatiron/center-for-computational-biology/genomics/ groups in 2026.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see https://www.simonsfoundation.org/flatiron/center-for-computational-biology/.

This joint position bridges two complementary efforts within CCB. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active materials, and aspects of collective behavior and self-organization in both natural systems (e.g., inside the cell) and synthetic ones. The Genomics group develops AL/ML methods to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease. Current areas of interest include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks for network modeling and regulatory module detection.

Together, these groups aim to develop integrative, hybrid models that combine deep learning for genome interpretation with mechanistic biophysical representations of its structure, dynamics, and regulation. Their joint work seeks to build theoretical and computational frameworks that link genome-scale regulatory models with quantitative, physics-based understanding of molecular and cellular organization. A key focus is on predictive modeling of how genetic variation alters the biophysical properties of neurons and the downstream phenotypic manifestations relevant to ASD and related conditions.

The uniqueness of this position lies in its explicitly interdisciplinary nature – offering the opportunity to work at the intersection of AI/ML genomic modeling and mechanistic biophysical modeling – and in its close integration with directed experimental investigations within the CCBx experimental network.

Strong applicants with backgrounds in applied and computational mathematics, biophysics, AI/machine learning, computational biology, computer science/engineering, statistical inference, or related fields are particularly encouraged to apply.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.

Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/.

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.

QUALIFICATIONS:

Education:

• Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements

• Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION AND BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

1. Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
2. Curriculum vitae with publications list and, if relevant, links to software
3. Research statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
4. Two (2) letters of recommendation

To apply, please visit: https://apptrkr.com/6664840

Applications for available positions that begin in 2025 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 30, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com

We are looking for a database developer with a flexible starting date (tentatively Jan 1st, 2026) and until December 31st, 2028 (~3 year employement).

OUR RESEARCH:

The Gloriam group (http://www.gloriamgroup.org) develops databases and stand-alone software tools for drug design at G protein-coupled receptors (GPCRs) – the most common mediators of human signalling and drug responses. The group also heads the GPCR field's main database, GPCRdb (http://www.GPCRdb.org) serving >50,000 users/year. The Gloriam group is a very international, dynamic and supportive research environment offering professional and personal development.

JOB DESCRIPTION:

You will develop online data and tool resources serving the global community of researchers and students. Depending on your interest, data curation and analysis, may also be part of the work. You will work as part of a team of highly proficient and collaborative programmers. In your project, you will also engage with users to collect feedback from e.g., medicinal chemists, pharmacologists and structural biologists.

PROFILE:

We are looking for a database developer with a computer science or similar background.

Essential experience and skills:

• A MSc related to bioinformatics, programming, or software/database development
• Excellent programming skills, preferably in Python
• Good communication skills and ability to work in teams
• Excellent English skills written and spoken

Desirable experience and skills:

• A PhD related to bioinformatics, programming, or software/database development
• Experience with software and/or database design
• Experience in dataset analysis and parsing
• Experience in system administration
• Web programming (e.g. HTML/CSS/JavaScript) and web frameworks (e.g. Flask/Django)
• Code versioning with Github
• International work or study experience
• Experience of working with G protein-coupled receptors

PLACE OF EMPLOYMENT:

The place of employment is at the Department of Drug Design and Pharmacology, University of Copenhagen (http://www.drug.ku.dk). We offer creative and stimulating working conditions in a dynamic and international research environment. Our research facilities include modern laboratories and computational facilities.

TERMS OF EMPLOYMENT:

The employment is full-time and fixed-term position until December 31st, 2028. Starting date is after agreement. Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). The monthly salary will be based on the number of years of work experience (seniority) with the possibility to negotiate a salary supplement based on prior experiences and qualifications. The employer will pay an additional 18.07% to your pension fund.

QUESTIONS:

For more information about the position, please contact Professor David Gloriam (david.gloriam[at]sund.ku.dk). For more information on working and living in Denmark: https://ism.ku.dk, and http://www.workingconditions.ku.dk

HOW TO APPLY:

Your online application must be submitted in English by clicking 'Apply now' below. Furthermore, your application must include the following documents/attachments – all in PDF format:

• Letter of motivation for application (cover letter). Please mention why you are interested in the position and why this could be the right project for you.
• CV incl. education, work/research experience, language skills and other skills relevant for the position.
• A certified/signed copy of a MSc or PhD certificate.
• List of publication if any.

Apply now: https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx?cid=3010&departmentId=20055&ProjectId=152101&MediaId=5121

Application deadline: 9 November 2025, 23.59 CET

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

Interviews are expected to be held within a month after the application deadline.

University of Copenhagen and Denmark:

Founded in 1479, the University of Copenhagen is the oldest university in Denmark. With 37,000 students and 9,000 employees, it is among the largest universities in Scandinavia and one of the highest ranking in Europe. The University consists of six faculties, which cover Health and Medical Sciences, Humanities, Law, Science, Social Sciences and Theology. Read more at http://www.sund.ku.dk and http://www.drug.ku.dk.

Copenhagen is a modern capital with plenty of opportunities in culture, design, architecture, restaurants, and a diverse nightlife. At the same time, the city offers beaches, beautiful parks and green nature areas, and the Copenhageners bike everywhere. The Danish society prioritises a good work-life balance, and the work culture is well adjusted for families with children. Read more at http://ism.ku.dk.

The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

DESCRIPTION

The Department of Biology and Biochemistry at the University of Houston invites applications for a tenure-track faculty position at the rank of Assistant or Associate Professor in Computational and Experimental Biophysics, with a focus on molecular simulation and drug discovery. We seek candidates who develop and apply advanced computational and experimental approaches – including AI-enhanced molecular dynamics sampling, multiscale modeling and hybrid simulation approaches, AI/ML-enhanced modeling, multi-omics, and integrative biophysical methods – to understand biomolecular motions and interactions, and to identify and optimize novel therapeutic candidates. Particular interest will be given to applicants whose research aims to use computational and AI/ML-enhanced modeling to design, validate and test new biomolecular targets for therapeutic development against chronic diseases such as cancer, inflammation, and neurodegeneration.

The successful candidate will join the Division of Biochemistry, one of the three divisions in the Department, which fosters a collaborative environment with strengths in structural biology, cancer biochemistry, computational biology, and signaling. Faculty benefit from state-of-the-art facilities, high-performance computing resources, and opportunities for collaboration across the College of Natural Sciences and Mathematics, other colleges, and Texas institutions. UH's location near the Texas Medical Center, the world's largest medical complex, provides additional biomedical research opportunities.

QUALIFICATIONS

• Ph.D. in biochemistry, biophysics, or related fields
• Expertise in applying AI/ML to biomolecular structures and motions
• Strong publication record and potential for externally funded research
• Commitment to teaching and developing curriculum in AI-driven biochemistry and biophysics
• Dedication to mentoring students and fostering inclusivity

RESPONSIBILITIES

• Build a competitive, externally funded research program
• Teach undergraduate and graduate courses, including a new AI-driven biochemistry course
• Mentor undergraduate, M.S., and Ph.D. students
• Pursue collaborative research within and beyond UH

HOW TO APPLY

Apply at Assistant or Associate Professor - AI-Driven Computational Structural Biology (https://careers.uh.edu/jobs/assistant-or-associate-professor-ai-driven-computational-structural-biology-houston-texas-united-states) - Houston, Texas, United States (Faculty - posting number 494843) by October 15, 2025, for full consideration. The position remains open until filled, with a start date of September 1, 2026.

DESCRIPTION:

The Center for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Genomics group.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our website.

The Genomics group works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI approaches for network modeling and regulatory module detection. These and other methods are developed in tight collaboration with experimental biologists, biomedical scientists, and clinicians and are applied to specific biological problems, both fundamental and biomedical.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, biophysics, computer science, engineering, applied mathematics, statistics, mathematical physics, engineering, or related disciplines.

Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful scientific computing resources.

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.

QUALIFICATION:

Education:

• Ph.D. in a relevant field (computational biology, computer science, biophysics, applied mathematics, statistics, mathematical physics, engineering, or related disciplines)

Related Skills & Other Requirements:

• Demonstrated abilities in machine learning, scientific computation, scientific software and algorithm development, mathematical modeling, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION & BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

• Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
• Curriculum Vitae with publications list and, if relevant, links to software
• Research Statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
• Letters of Recommendation, at least two (2).

To apply, please visit: https://apptrkr.com/6618044

Applications for available positions that begin in 2026 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 15, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCB staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs[at]flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

POLICIES:

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com

DESCRIPTION:

The https://www.simonsfoundation.org/flatiron/center-for-computational-biology/ (CCB) of the https://www.simonsfoundation.org/'s https://www.simonsfoundation.org/flatiron is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its https://www.simonsfoundation.org/flatiron/center-for-computational-biology/biological-transport-networks/ group in 2026.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our https://www.simonsfoundation.org/flatiron/center-for-computational-biology/.

The primary objective of the Biological Transport Networks group is to unravel the intricate relationships among the architecture of transport networks, their physical and developmental constraints, and their contribution to the overall fitness of the organisms they serve. Ultimately, we seek to integrate computation, theory and experimental data to bridge our micro- and mesoscopic knowledge of living processes and the intricacies of large-scale networks. By doing so, we aspire to unveil biological principles that can provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and remodeling. We employ advanced computational and theoretical techniques, such as large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems, building transport-informed models for neuron growth and maturation, quantifying large datasets of the microvasculature, and understanding and incorporating the effects of nonlinearities into networks of vessels.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.

Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers

QUALIFICATIONS:

Education:

• Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements:

• Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION & BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

• Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
• Curriculum Vitae with publications list and, if relevant, links to software
• Research Statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
• Letters of Recommendation, at least two (2)

To apply, please visit: https://apptrkr.com/6615077

Applications for available positions that begin in 2026 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 15, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

POLICIES:

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com

DESCRIPTION:

The https://www.simonsfoundation.org/flatiron/center-for-computational-biology/ (CCB) of the https://www.simonsfoundation.org/'s https://www.simonsfoundation.org/flatiron is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its https://www.simonsfoundation.org/flatiron/center-for-computational-biology/developmental-dynamics/.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our https://www.simonsfoundation.org/flatiron/center-for-computational-biology/.

The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. Its theoretical and computational work is designed to integrate and abstract rapidly accumulating heterogeneous datasets, to propose critical tests of multiscale regulatory mechanisms, and to guide our own genetic and imaging experiments. The group's research is organized around three main themes: the mechanistic modeling of pattern formation and morphogenesis; the synthesis and decomposition of developmental trajectories; and the modeling of human developmental defects.

We are looking for candidates interested in data-driven modeling of biological systems, especially in the context of behavioral changes during postembryonic development. We have devised a throughput approach for recording such changes in Drosophila and are evaluating a range of data analysis and modeling for data mining.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, applied mathematics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.

Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/.

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.

QUALIFICATIONS:

Education:

• Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements:

• Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION & BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

• Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
• Curriculum Vitae with publications list and, if relevant, links to software
• Research Statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
• Letters of Recommendation, at least two (2).

To apply, please visit: https://apptrkr.com/6614956

Applications for available positions that begin in 2026 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 15, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCBA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

POLICIES:

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com

DESCRIPTION:

The https://www.simonsfoundation.org/flatiron/center-for-computational-biology/ (CCB) of the https://www.simonsfoundation.org https://www.simonsfoundation.org/flatiron is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to work on information processing in biological networks and nonequilibrium thermodynamics of living systems. Current areas of interest include (but not limited to) molecular mechanisms and nonequilibrium thermodynamics in living systems responsible for important regulatory functions such as signal transduction, molecular motor control, synchronization of biochemical oscillations, and gene regulation.

The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our https://www.simonsfoundation.org/flatiron/center-for-computational-biology/.

POSITION DESCRIPTION:

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.

Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful https://www.simonsfoundation.org/2021/03/04/computation-opens-new-doors-for-science/.

Responsibilities include but are not limited to:

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

For more information about careers at the Flatiron Institute, please click https://www.simonsfoundation.org/flatiron/careers.

QUALIFICATIONS:

Education:

• Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements:

• Demonstrated abilities in mathematical modeling, statistical physics, dynamics of stochastic processes, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
• Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
• Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
• Strong oral and written communication, data documentation, and presentation skills

COMPENSATION & BENEFITS:

• The full-time annual compensation for this position is $91,000.
• In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

HOW TO APPLY:

To apply, please submit the following via the application portal:

• Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
• Curriculum Vitae with publications list and, if relevant, links to software
• Research Statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
• Letters of Recommendation, at least two.

To apply, please visit: https://apptrkr.com/6614808

Applications for available positions that begin in 2026 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled. For full consideration, candidates are strongly encouraged to submit their complete application by November 15, 2025.

SELECTION CRITERIA:

Applications will be evaluated based on:

• Past research accomplishments
• The proposed research program
• The synergy of applicant's expertise and research proposal topic with existing CCA staff and research programs, and Potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.

POLICIES:

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

https://www.jobelephant.com