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We are looking for a postdoctoral researcher to engineer enzymes using state-of-the-art experimental and computational approaches for an industrial partnership with IFF.
IFF-DTU Collaboration: Pioneering the Future of Biotechnology
International Flavors & Fragrances Inc. (IFF), a global leader in taste, scent, nutrition & bioscience and the Technical University of Denmark (DTU) have initiated a strategic partnership and created a joint research program with PhD students and postdocs together with researchers at DTU Bioengineering, DTU Biosustain and IFF Scent.
Research Outline: Advanced Industrial Enzyme Technology for more sustainable fragrances
The research focus of the collaboration is advanced industrial enzyme technology. Our goal is to deliver lower impact processes and innovative products built on circular attributes, reducing our dependence on volatile supply chains. The research program will create new fundamental knowledge on the production, action, kinetics, and robustness of specific enzymes, providing new sustainable bio-based processes for an expanded, sustainable scent & taste product portfolio based on new scientific insights.
Join an international multi-disciplinary program:
Building on the mutual synergies between DTU and IFF, you will work in an international multi-disciplinary program involving scientific areas of enzyme technology, chemistry, molecular biology, bioinformatics, analytical chemistry and chemical engineering. The program supports not only strong research, but also education at DTU of future global industrial biotech leaders, offering courses in sustainability management, entrepreneurship, technology change, and economics.
Research Focus of the Postdoc:
As part of this collaboration, DTU Biosustain is looking for a postdoctoral researcher that will be designing new enzymes for developing more sustainable bioprocesses for the biosynthesis of natural compounds. We are looking for someone who is independent in planning and designing experiments, who thrives within an interdisciplinary environment at a world-class university, and who is highly motivated for the development of bioprocesses using enzyme-based technologies together with an industrial partner. The project is interdisciplinary, and it involves bioinformatics, enzyme engineering, directed evolution, biocatalysis, analytical chemistry and machine learning.
RESPONSIBILITIES
- Perform enzyme engineering and directed evolution in model bacteria and yeast.
- Develop high-throughput assays and analytical methods for enzyme screening.
- Optimize biocatalytic transformations using single and multiple enzymes.
- Purify and characterize enzyme variants using biophysical and biochemical approaches.
- Report research results in peer-review scientific publications and international conferences.
- Supervise PhD students and collaborate with other researchers across related projects.
QUALIFICATIONS
- PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area.
- Experience with molecular biology, enzyme engineering and assay development.
- Experience with patent and paper writing as well as teaching.
- Excellent English proficiency in written and oral form.
- Excellent communication skills for working within an international research team.
- Strong analytical skills and ability to work independently and with an interdisciplinary team.
Preferred qualifications but not mandatory:
- A strong publication record in peer-review scientific journals and patents.
- Bioinformatics for the evolutionary analysis of enzyme families.
- Basic coding skills in Python or other programing language.
- Experience with visualization and molecular modelling of protein structure and ligands: Rosetta, Schrödinger, AlphaFold2, PyMOL, Chimera, etc.
- Interest in applying machine learning methods to improve enzyme function.
- Interest in collaborating with industrial partner to make a positive impact on planetary health.
As a formal qualification, you must hold a PhD degree (or equivalent).
COMPENSATION
We offer:
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment:
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 3 years. The preferred starting date is 1 April 2025, or according to our mutual agreement. The position is full time.
You can read more about career paths at DTU here: http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
HOW TO APPLY
Your complete online application must be submitted no later than 15 January 2025 (23:59 Danish time).
Apply at postdoc in enzyme design for industrial collaboration:
https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/4490/?utm_medium=jobshare
The hiring committee consists of representatives from IFF and DTU and the first round of interviews will be held from 27-29 January 2025.
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
ABOUT US
DTU Biosustain is an interdisciplinary research centre that develops new knowledge and technology to support the production of biochemicals, natural products and microbial foods using fermentation processes based on microbial hosts or enzymatic processes.
Technology for people:
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
POLICIES
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
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BACKGROUND
The Department of Bioinformatics and Genomics, part of the College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a tenure-track Assistant Professor position beginning Fall 2025. Located in the Bioinformatics Building on the UNC Charlotte Campus, the Bioinformatics and Genomics Department is a research-intensive unit with a Ph.D. program in Bioinformatics and Computational Biology and a M.S. in Bioinformatics. Visit https://cci.charlotte.edu/departments/department-of-bioinformatics-and-genomics/ for more information. Faculty in this Department support an undergraduate Bioinformatics Minor and Bioinformatics Concentrations within the BS and BA degrees in Computer Science. The Department has state-of-the-art laboratories, several high-performance computer clusters, and has dedicated space for postdoctoral fellows, graduate students, and staff.
RESPONSIBILITIES
The successful candidate will be expected to develop and maintain an externally funded research program involving Ph.D., Masters, and undergraduate students and to teach graduate and undergraduate courses.
REQUIREMENTS
Applicants for this position must hold a Ph.D. in the biological, computational, or related sciences. They should demonstrate excellence in research via a strong publication record, the potential to secure funding, and a commitment to education. 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.
TERMS
Permanent - Full-time
LOCATION
Charlotte, NC, USA
Charlotte is 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.
HOW TO APPLY
Applications must be made electronically at https://jobs.charlotte.edu (position #001841) and must include: a cover letter, CV, contact information for at least 3 references, a statement of research interests (max 5 pages), a statement of teaching philosophy (max 2 pages), and PDFs of 3 publications. Please highlight potential contributions to UNC Charlotte within the statement of research interests.
For questions about this posting or the application, please contact Dr. Anthony Fodor (afodor[at]charlotte.edu).
DEADLINE
Review of applications will begin on January 13, 2025
POLICY
The University of North Carolina at Charlotte is an Affirmative Action/Equal Opportunity Employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained. Women, minorities, veterans and individuals with disabilities are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability, gender identity or sexual orientation. The University of North Carolina at Charlotte maintains an Affirmative Action Plan prepared in accordance with Executive Order 11246 and the Consent Decree.
The candidate chosen for this position will be required to provide an official transcript of their highest earned degree and submit to a criminal background check.
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BACKGROUND
Multiple postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML, https://www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects focus on deep learning in precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell omics, as well as translational/clinical bioinformatics. Funding (multiple NIH grants (U01, 4 R01s, R03), CPRIT grants, Vice President Office for Cancer Genomic Medicine, lab/center/professorship startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>400 papers since 2009) and has an excellent post-doctoral training track record (e.g. 25 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, one NIH K99 awardee, one received NIH MIRA grant, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications from the lab have appeared in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Machine Intelligence, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Science Advances, GigaScience, etc.
The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science Center at Houston. The center is established in UTHealth in response to the emerging need of precision health and artificial intelligence. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.
REQUIREMENTS
The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the website https://www.uth.edu/bioinfo/.
TERMS
3 Years or flexible.
LOCALE
Houston, Texas, USA
COMPENSATION
Salary and Benefits: Salary is commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is also available. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).
HOW TO APPLY
Applicants should send a CV and references to:
Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu)
Chair, Precision Health
Professor and Director, Center for Precision Health
University of Texas Health Science Center at Houston
DEADLINE
Open until the positions are filled.
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At the Faculty of Engineering and Science, Department of Materials and Production, a PostDoc position is available. This two-year position is open for appointment from 1 April 2025 or soon thereafter.
DESCRIPTION
The position is funded by projects from Novo Nordisk Foundation and Sygesikring Danmark and offers a unique opportunity to work with a multi-disciplinary team consisting of clinical researchers in hematology and oncology, AI/ML researchers, and biostatisticians.
The position centers on statistical analysis and interpretation of medical data, with a focus on exploring diverse learning methods, developing machine learning models tailored for clinical research, conducting sensitivity analyses, and validating models in clinical settings. These research goals aim to enhance model accuracy, reliability, and clinical applicability, ultimately contributing to advancements in healthcare insights and patient outcomes.
The successful candidate will among others develop algorithms for hemoglobinopathies screening and will investigate biomarkers and clinical features for classification of individuals with multiple hemoglobinopathies.
Additionally, the candidate will be part of a team developing machine learning-based prediction models for compilations related to cancer treatment(e.g. febrile neutropenia).
REQUIRED SKILLS
We are seeking a highly motivated and enthusiastic Postdoctoral researcher who, in addition to the expertise outlined above, brings the following skills and qualifications:
- PhD in mathematics, computer science, bioinformatics, engineering, or a related data science field
- Skilled in development of machine learning-based algorithms for disease prediction
- Clinical data management
- A strong computational background and expertise in dealing with large datasets
- High level of proficiency in programming(Python, R, or other programming languages)
- Excellent English communication skills, both written and spoken
- Proficient communication skills and ability to work in multi-disciplinary teams
- A proven track record showing scientific productivity in peer-reviewed journals
Limited teaching within the area can be expected, but also in other study programmes at the University.
QUALIFICATION REQUIREMENTS
Appointment as Postdoc presupposes scientific qualifications at PhD-level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.
SALARY & TERMS OF EMPLOYMENT
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities. Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and circular concerning protocol on certain terms of employment of academic staff at universities (only in Danish).
HOW TO APPLY
The application must contain the following:
- A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
- A current curriculum vitae.
- Copies of relevant diplomas(Master of Science and PhD- both in english).
- Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
- Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
- Additional qualifications in relation to the position. References/recommendations.
- Personal data.
The applications are only to be submitted online by using the link below:
https://app.researchplanner.net/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?VacatureID=1219327&PortalID=1967
Ref. number:
2024-224-06141
Assessment:
The assessment of candidates for the position will be carried out by qualified experts.
Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.
When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position.
POLICIES
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.
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DESCRIPTION
The School of Biological Sciences (https://biology.ucsd.edu), Department of Molecular Biology, invites applications for a faculty position in Molecular Biology at the tenure-track Assistant Professor level. Candidates pursuing innovative research in the area of Molecular Biology and employing quantitative and/or computational approaches are encouraged to apply, including applicants pursuing fully dry/computational research or a combination of wet/experimental and dry/computational research. Applicants whose research program leverages or expands on the capabilities of the newly-established UCSD Goeddel Family Technology Sandbox (https://biosci.ucsd.edu/research/facilities-resources/technology-sandbox/index.html) are particularly encouraged to apply. We are particularly interested in candidates that foster equity and inclusion. Potential areas of interest include, but are not limited to, studies focused on development of novel computational methods in biophysics, structural biology, genomics, genetics, microbiology, and/or bioinformatics with applications ranging from image analysis for advanced light microscopy, cryoelectron microscopy, or cryoelectron tomography to AI/ML-based modeling of protein structure/function/evolution or dynamic intracellular pathways and processes.
The School of Biological Sciences at UCSD is a vibrant center of scientific discovery, innovation, and collaboration. Our large research base spans many areas of biology and has one of the most celebrated graduate programs in the country. We are committed to academic excellence, and to enhancing access, inclusion and success of our diverse faculty, staff and students (http://diversity.ucsd.edu) and (https://biology.ucsd.edu/equity-diversity-inclusion/index.html).
QUALIFICATIONS
All candidates must have earned a Ph.D. or equivalent degree by the time of hire and be committed to teaching at the undergraduate and graduate levels. In addition to excellence and creativity in research and scholarship, successful candidates must also demonstrate a commitment to programs that improve equity, diversity, and inclusion in higher education.
REQUIREMENTS
Interested applicants must submit a cover letter, curriculum vitae, statement of research, statement of teaching, a statement describing their past experience and leadership in fostering equity, diversity, and inclusion and their potential to make future contributions, and 3-5 publications. For information on preparing diversity statements and School-wide initiatives to promote diversity, see: http://facultydiversity.ucsd.edu/recruitment/contributions-to-diversity.html and https://biology.ucsd.edu/equity-diversity-inclusion/faculty-expectations.html.
We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and, where applicable, to discuss your achievements in this light.
COMPENSATION
A reasonable salary range estimate for this position is $122,000--$145,200. The posted UC Academic salary scales set the minimum pay as determined by rank and/or step at appointment. See the following table for the salary scale for this position https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t1.pdf
The base salary range, from the salary table, for this position is $78,200-$101,400. "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: https://aps.ucsd.edu/compensation/apo-salary.html
DEADLINE
Review of applications will commence December 1, 2024, and will continue until position is filled.
POLICY
AA/EOE
UCSD is an Affirmative Action/Equal Opportunity Employer with a strong institutional commitment to excellence through diversity (http://diversity.ucsd.edu). All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age, or protected veteran status.
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BACKGROUND
We are seeking a highly motivated postdoctoral fellow to join our research team working on the systemic effects of the human digestive tract microbiome. The position is available immediately and involves working with existing datasets, including metagenomes and metabolomics profiles. The candidate will also play a key role in acquiring new datasets through participation in human clinical studies and trials.
The laboratory of Dr. Izard is part of the Division of Gastroenterology and Hepatology and is affiliated with the Frederick F. Paustian IBD Center, both at the University of Nebraska Medical Center in Omaha, Nebraska.
RESPONSIBILITIES
- Analyze and interpret multi-omics datasets, with a focus on understanding the biological pathways involved.
- Contribute to human clinical studies and trials, including sample collection, data acquisition, and analysis.
- Present research findings at national conferences and contribute to manuscript preparation and grant writing.
- Collaborate with interdisciplinary teams and contribute to the overall research goals of the laboratory.
REQUIREMENTS
- A Ph.D., M.D./Ph.D., or equivalent degree is required.
- Proven expertise in bioinformatics, coding languages, and statistical analysis tools.
- A deep understanding of biological pathways and systems biology.
- Strong verbal and written communication skills, with the ability to work both independently and collaboratively within a team.
- Proficiency in Microsoft Word, Excel, PowerPoint, and other software for data visualization and presentation.
- A track record of first-author publications in peer-reviewed journals.
- Experience in conducting bench or human studies is preferred.
LOCATION
Omaha, Nebraska, USA
COMPENSATION
Salary Commensurate with Experience
DEADLINE
December 31st, 2024
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Search #: 498624
Work type: Full-time
Location: UConn Health
Categories: Research
JOB SUMMARY
The bioinformatics analyst at the Computational Biology Core within the Institute for Systems Genomics provides essential consulting, data analysis, and data interpretation services to advance research efforts. This role involves collaborating with faculty, post-doctoral fellows, and research staff on a wide array of biological topics, including high-throughput sequencing, experimental design, analytic approaches, and workflow management. The analyst plays a key role in providing background on current techniques, managing multiple overlapping data analysis projects, providing general HPC user support, and providing regular workshop based training to the broader community. The analyst will join a small team that supports research at all UConn campuses - this position will mainly focus on biomedical applications at the UConn Health campus (Farmington, CT). The position will be split between research support (60%) and training (40%).
The incumbent will have the opportunity to:
- Engage in cross-disciplinary collaborations and gain experience integrating multiple data types with clinical outcomes and other -omics data.
- Contribute to multiple publications and advance research at the forefront of computational biology.
- Work closely with the Institute for Systems Genomics ecosystem, including its cutting edge sequencing core, the Center for Genome Innovation.
This Bioinformatics Analyst position will be hired at either the Facility Scientist II or Facility Scientist III classification dependent upon the incumbent's experience, skills, abilities, and training as determined by the University. The Facility Scientist II serves as a first-working-level technician, who will receive a general outline of duties and are free to plan and arrange their own work within a wide range of practices and procedures. Their work is periodically checked for progress and conformance to established objectives and they are expected to perform highly specialized tasks and laboratory techniques of moderate difficulty. The Facility Scientist III is an advanced level technician who will work closely with the PI on the research plan and report back by means of occasional conferences to discuss work progress or new problems which require advice. The Facilities Scientist III participates in the overall research effort, tests and implements new methods, recommends changes in experimental design and protocols, and resolves new, unusual, or difficult problems in consultation with the PI.
DUTIES & RESPONSIBILITIES
- Perform quality control and end-to-end analysis of large sequence datasets from diverse experimental designs.
- Consult with researchers to refine computational research questions, develop sound experimental designs, and implement bioinformatics tools and strategies.
- Develop and maintain computational workflows for processing, analyzing, and visualizing high-throughput sequencing data.
- Provide figures and written sections describing methods and results for publications, presentations, and grant applications.
- Maintain and enhance software in a bioinformatics setting via a shared HPC resource, including software installation and general user support.
- Develop application specific bioinformatic tutorials and lead workshop style training at regular intervals.
MINIMUM QUALIFICATIONS
- For Facility Scientist II level: MS degree in bioinformatics, computational biology, genomics/genetics (or related area of study) and 2 years of post-degree relevant work experience.
- For Facility Scientist III level: either a MS degree in bioinformatics, computational biology, genomics/genetics (or related area of study) and 8 or more years of post-degree relevant work experience or a PhD in bioinformatics, computational biology, genomics/genetics (or related area of study) with up to 1 year of post-degree relevant work experience.
- Experience with computational analysis of complex sequence-based datasets, including several of the following: whole exome sequencing, RNA-seq, single-cell expression, variant detection, methyl-seq, and ATAC-seq.
- Demonstrated fluency in bash scripting, R, and Python and/or Perl.
- Excellent written and verbal communication skills.
PREFERRED QUALIFICATIONS
- Strong organizational skills, with experience managing and prioritizing multiple competing tasks.
- Familiarity with workflow management systems (Nextflow, Snakemake, etc).
- Experience with bioinformatics training, including curriculum development and instruction.
- Fluency with GitHub.
APPOINTMENT TERMS
This is a full-time, grant-funded, 12-month position. This position is subject to annual renewal, contingent on satisfactory performance and budget funding. Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the American Association of University Professors UConn Chapter (AAUP).
TERMS & CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
HOW TO APPLY
Please apply online at https://hr.uconn.edu/jobs , Staff Positions, Search #498624 to upload a resume, cover letter, and contact information for three (3) professional references.
This job posting is scheduled to be removed at 11:55 p.m. Eastern time on November 8, 2024.
POLICY
All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp .
All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.
The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
The University of Connecticut is an AA/EEO Employer.
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WHO WE ARE
SygnaMap is a young cutting-edge San Antonio biotech startup that is at the nexus of Spatial Omics and AI-driven Computational Pathology. Spun out of UT Health San Antonio and funded by multiple NIH and NSF SBIR awards, we are bringing precision medicine to reality with a patient-centric vision to enable highly effective therapies driven by specific predictive biomarkers. SygnaMap's team of fast-moving and passionate scientists is building novel computational algorithms to map spatial omics to biochemical function to identify signatures of disease and cures for rare and common diseases.
LOOKING FOR
We are looking for a motivated and enthusiastic Biostatistician/Bioinformatician to perform analyses on various projects. The ideal candidate will have the ability to recommend plans for research design, review literature in depth to stay cognizant of latest developments in the field, prepare reports including visualizations and statistical analyses to communicate key findings and development updates. We provide the opportunity for exposure to cutting-edge biomedical research in various disease states while working remotely on a flexible part-time work schedule.
QUALIFICATIONS / REQUIREMENTS
- Ph.D. in Biostatistics or Bioinformatics. Doctoral students or post-docs with experience in computational method development preferred will be considered.
- Preferred major: Biostatistics, Bioinformatics, or related discipline.
- Proficiency with Python and R, git, jupyter notebook. Knowledge of cloud computing and databases helpful.
- Knowledge of multi-omics analyses and hands-on experience with customizing batch-effect correction methods for novel data modalities will be greatly valued.
- Flexible part-time hours and remote work.
- Strong analytical skills, focused attention to detail, team-player, scientific curiosity and enthusiasm are highly valued.
- Authorized to work in the U.S. (or CPT-eligible).
HOW TO APPLY
Send CV / Cover letter to: info[at]sygnamap.com
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BACKGROUND
The Gruenstaeudl lab (https://gruenstaeudl-lab.com) at Fort Hays State University (FHSU) in Hays, Kansas is starting an NIH-funded research project in the area of genomic data mining and bioinformatic software development and is recruiting three graduate students with a strong background in bioinformatics, data science or computer science who are interested in enrolling in a 2-year Master's program that starts in spring 2025.
REQUIREMENTS
- Programming experience in either Python or R
- B.S. degree in bioinformatics, data science or computer science
COMPENSATION
Each graduate student position includes (i) graduate assistantships for the spring and fall semester, (ii) a summer internship, and (iii) university-sponsored tuition waivers (excluding tuition fee) for in-person classes (max. 9 credit hours per semester), each for at least one year of the 2-year degree program. An equal compensation during the second year of the program is possible, contingent on a reasonable research progress. Funding for the attendance of at least one national-level science conference, in which the students will present their research, is also available.
TERMS
The positions are part of the Master of Science in Biology graduate program at FHSU (https://www.fhsu.edu/biology/biology-graduate-studies/), and students can choose graduate-level courses from biology as well as other departments (e.g., computer science or mathematics) to fulfill the degree requirements as long as the selected courses fit the student's graduate research project and the departmental guidelines. The start date of these positions, as well as of enrollment in the graduate program, is the beginning of spring semester 2025.
HOW TO APPLY
Students with programming experience in either Python or R are encouraged to contact Dr. Michael Gruenstaeudl to learn more about this opportunity and the research project. To do so, please send a brief message with your academic background and your career goals, your current CV/resume, and an example of a recent coding project of yours (e.g., a GitHub link).
Michael Gruenstaeudl, Ph.D.
Assistant Professor, Fort Hays State University
https://gruenstaeudl-lab.com
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RESPONSIBILITIES & REQUIREMENTS
The Department of Quantitative Health Sciences (QHS) at Mayo Clinic in Arizona is seeking a Bioinformatics Faculty to join our team!
The candidate will possess an MD, PhD, or MD/PhD and is expected to be an outstanding scholar with a record of achievement; demonstrated ability for successful collaborations; and have excellent communication skills. The candidate should have strong bioinformatics and/or data science expertise in any of the focus areas of genetics and epigenetics, bulk and single-cell omics analytics, multi-omics integration, or spatial biology analytics. A track record of enabling these research domains to impact clinical practice is preferred. The candidate is expected to demonstrate a focus on collaborative/team-based research with evidence of concurrent independent research. The candidate is also expected to have proven leadership experience working with a multi-disciplinary team of scientists and clinicians, and to excel at providing scientific direction to a team of support staff working in a hybrid (some onsite and some remote) work environment.
BACKGROUND
The Department of Quantitative Health Sciences is a multidisciplinary enterprise-wide department with approximately 70 doctoral level and more than 400 allied health staff members, located in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; and Rochester, Minnesota, who are dedicated to improving patient care through medical research. Its mission is to grow and enable outstanding leaders in research, provide international leadership in specialties related to our expertise, provide cutting edge education to Mayo Clinic colleagues, serve as a resource for knowledge and data, and provide unique services that support the mission of Mayo Clinic. The Department consists of the Division of Epidemiology, the Division of Clinical Trials and Biostatistics, the Division of Computational Biology, and the Section of Biomedical Ethics.
The Division of Computational Biology leads research in statistical genomics, bioinformatics and computational biology, developing and applying innovative analytical techniques for biomedical discovery and translational research across a range of medical conditions. Our division partners with scientists and clinicians throughout Mayo Clinic to carry out cutting-edge research to enhance the understanding of disease and improve health care.
Collaborative Scientists in the Division of Computational Biology lead study design, data acquisition, analysis, and interpretation of results, as part of multi-disciplinary teams. They are essential members of clinical, basic, and translational research programs and provide leadership in their area of expertise. They lead analytic teams consisting of bioinformaticians, biostatisticians, and statistical programmers. In addition to serving as Co-Investigators, Collaborative Scientists may also hold grants as Principal Investigators.
Key areas of research in the division encompass analysis of biological data including genomics and transcriptomics; epigenomics; proteomics; metabolomics; microbiome; and digital pathology and imaging.
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. With a 73,000-person workforce, Mayo Clinic cares for more than 1.3 million people each year with serious or complex illnesses from all 50 U.S. states and 130 countries. Mayo Clinic is the largest not-for-profit, multidisciplinary academic medical center in the world with over 4,000 physicians and scientists in an integrated multi-campus system spanning the globe.
The unified mission at Mayo Clinic is to provide the best patient care, backed by our expertise and supported by innovation in education, research and practice, to bring hope and healing in times of need. We embrace collegial relationships among campuses (Arizona, Florida and Minnesota) allowing for best practices and innovation to help solve the most serious complex medical challenges-one patient at a time.
We support a vibrant and diverse research enterprise, with programs in basic, translational, clinical, population, and data sciences. In 2023, the institution received over $689 million in extramural research awards, supplemented with over $445 million of institutional support. Laboratories and shared resource facilities are state-of-the-art, including those for biomolecular analysis, molecular development, data analytics, specimen processing, and structural testing and imaging. Mayo Clinic supports innovation and has a wealth of resources available – including an integrated health record and collaboration with top specialists.
Research teams at Mayo Clinic in Arizona actively investigate complex diseases and conditions with a goal of improving care for patients. As they search for answers, scientists and physicians work side by side, sharing ideas and results. Promising discoveries are moved quickly from the laboratory to clinical trials, with proven new therapies introduced to clinical practice. Areas of research focus include blood cancers, particularly multiple myeloma; metabolic and endocrine diseases, such as diabetes and obesity; bioinformatics; genomics; and aerospace medicine.
As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in a highly competitive compensation package with substantial long-term institutional and departmental support for salary, personnel, equipment, and travel all designed to ensure immediate and continued success. Additional benefits for faculty at Mayo Clinic include intramural funding opportunities for research and innovation. We provide an outstanding, comprehensive benefits package that includes plenty of options for medical, dental and vision care; flexible spending accounts; life insurance; short- and long-term disability coverage; travel allowance; generous time away; and more! We are proud to be among the few U.S. companies to provide a pension benefit at no cost to employees plus you can add the Mayo 403(b) plan which features an employer match.
Phoenix is the capital city of Arizona and is located in the central region of the state. It's metropolitan area boasts almost 5 million residents in 25 cities and towns. People may know it for its year-round sun, desert beauty, and world-class resorts and golf, but as the fifth-largest city in the U.S., it also offers sophisticated urban capes, southwest culture and lots of outdoor adventure.
The "Valley of the Sun" as Phoenicians refer to it, is surrounded by mountain parks – in fact, South Mountain Park and Preserve is the largest municipal park in the U.S. – so it's easy to get out and enjoy the flora, fauna and some incredible views (and sunsets). And, although Phoenix is in the Sonoran Desert, there are six lakes in close proximity where water lovers can kayak, paddleboard, Jetski, waterski, boat, fish or just lounge on the shore.
Over the next several years, Mayo Clinic is making significant investments in both the physical and technological future of health care, through doubling the size of the Mayo Clinic campus in Phoenix, inclusive of practice, education, and research activities.
Scottsdale frequently earns praise as a highly desirable place to live. The city's more than 200,000 residents enjoy a vibrant mix of culinary hot spots, arts and entertainment, professional and collegiate sports teams, and community resources. The region's desert climate promotes an outdoor lifestyle with a full complement of sports and recreation.
PREFERENCES
Please see the details in the RESPONSIBILITIES & REQUIREMENTS.
POLICY
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
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BACKGROUND
We are looking for a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk's research group. This role is critical for supporting our ongoing research projects focused in 2 areas- the human microbiome (gut, oral and cervicovaginal), and human papillomavirus-related to cervix neoplasia. The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data. The successful candidate will demonstrate a willingness and eagerness to adapt to new approaches, as the field of bioinformatics is dynamic and constantly evolving.
RESPONSIBILITIES
Key Responsibilities in order of priority:
- NGS Data Handling: Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs.
- Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies.
- Data Processing and Analysis: Utilize existing pipelines to process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration.
- Data Management: Manage and organize bioinformatics sequencing data for our research group, including papillomavirus sequences, microbiome data (16S, ITS1 and shotgun metagenomics), and human genomic data.
- Large Dataset Management: Download and handle large Fastq, BAM, and/or Fasta files for analyses.
- Software Utilization and Script Modification: Use existing software tools and be able to modify R scripts to generate figures and perform epidemiological analyses.
- Phylogenetic Analysis: Construct phylogenetic trees to support ongoing research projects.
- Collaboration and Reporting: Work closely with and report directly to Robert D. Burk, M.D., Principal Investigator, and collaborate with other lab members generating NGS data.
REQUIREMENTS
Minimum Education: BS/Undergraduate
Minimum Experience: 1-2 Years
Required Travel: 0-10%
- Educational Background: Bachelor's degree with at least one year of experience in epidemiology, computational biology, or bioinformatics.
- Technical Skills: Proficiency in R or Python is required. Experience in microbiome bioinformatic processing is preferred.
- Communication Skills: Ability to speak clearly and express oneself well in one-on-one conversations and groups. Develops effective written communications and uses them appropriately. Ability to present at weekly lab meetings using PowerPoint or other presentation programs.
- Interpersonal Skills: Interacts and proactively shares information with internal and external contacts where appropriate. Develops effective professional relationships with peers, students, and employees.
- Responsibility and Problem-Solving: Assumes responsibility to ensure issues/concerns are addressed and monitors them through to conclusion. Identifies, defines, and analyzes information and situations before recommending a course of action.
- Time Management: Effectively manages own time and resources.
- Innovation and Technology: Seeks to apply technology and innovation to improve efficiency and solve problems related to the goals of the research group.
LOCATION
Bronx, New York, 10461 United States
COMPENSATION
$60,000 Yearly Salary
DEADLINE
9/7/2024
PI244887266
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BACKGROUND
The Stanford University School of Medicine (SoM) is recruiting multiple faculty at the Assistant, Associate, or Full Professor in the University Tenure Line (UTL), University Medical Line (UML), or Non-Tenure Line-Research (NTL-R) through this AI (Artificial Intelligence) Faculty Cluster Hire Search. We are specifically interested in candidates who have experience developing and applying novel biomedical AI and data science methods that incorporate biomedical domain expertise to ensure relevance and impact to health and medicine. Candidates will be hired into one or more SoM department(s) and contribute to the research, educational, and if relevant, clinical activities.
This AI Faculty Cluster Hire Search aims to recruit a diverse group of experts dedicated to fostering growth of biomedical AI and data science both within our organization and beyond. These distinguished individuals will become integral members of a dynamic community, collaborating not only within their respective departments or institutes but also across the SoM and our university at large.
REQUIREMENTS
- The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching.
- The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill.
- The major criterion for appointment for faculty in the Non-tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists.
Faculty line and rank will be determined by qualifications and experience. The successful candidate must have an MD, MD/PhD, or PhD with substantial expertise in one or more aspects of biomedical data science enabled or enhanced by AI. The successful candidate will be expected to develop an independent research program that advances AI approaches to biomedical data science, with a focus on their use in basic, translational, clinical, and/or population sciences.
FOCUS AREAS & RESPONSIBILITIES
Examples of focus areas in basic science research include development of methods to determine molecular structures, accelerate development of novel therapeutics, elucidate stem cell biology, or enable regenerative medicine. Examples of focus areas in clinical research include the development of AI methods for integration and analysis of multimodal patient data, including laboratory tests, clinical notes, images and video across multiple scales, speech to text, physiologic assays, and functional evaluations. Clinical AI research domains span across medical specialties, including but not limited to cancer, neurology, neuroscience, cardiovascular disease, intensive care, mental health, peri-operative care, pain management, ophthalmology, pediatrics, radiology, pathology, and surgery. Examples of focus areas in population health research include pharmacoepidemiology, genetic epidemiology, environmental epidemiology, AI health policy, fairness, and the legal, regulatory, ethical, and economic considerations that underlie the responsible implementation of clinical decision support tools. Research in all of these areas will benefit from broad interactions and collaborations throughout the SoM, across Stanford University, and within the large and growing health systems of Stanford Medicine.
The successful candidate will be expected to teach students, residents, postdoctoral fellows and clinical fellows, and participate in relevant clinical and basic science conferences. They will have demonstrated the potential to achieve, or have a demonstrated record of achievement in relevant rigorous research. The Departments, School of Medicine, and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: https://ideal.stanford.edu/about-ideal.
COMPENSATION
This role is open to candidates from multiple disciplines/specialties. The pay offered to the selected candidate will be based on their field or discipline. The expected base pay range for likely disciplines are listed below. Interested candidates whose discipline is not listed below may contact the hiring department for the salary range specific to their discipline/specialty.
PhD, Basic Science:
Assistant: $185k - $203k
Associate: $218k - $242k
Professor: $266k - $296k
PhD, Data Science or related field:
Assistant: $215k - $242k
Associate: $258k - $285k
Professor: $307k - $332k
MD, Research-Only (see below for further clarification):
Assistant: $190k - $208k
Associate: $218k - $242k
Professor: $261k - $279k
This pay range reflects base pay, which is based on faculty rank and years in rank. It may not include all components of faculty compensation or pay from participation in departmental incentive compensation programs. These scales do not include compensation for clinical practice, which may be relevant to specific candidates and departments. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.
HOW TO APPLY
Review of complete applications will begin on September 23, 2024, and will continue until the positions are filled.
Interested candidates should submit the following to: https://facultypositions.stanford.edu/cw/en-us/job/494741/.
1. A detailed letter of research and teaching interest and if relevant, clinical specialty
2. A curriculum vitae
3. Three names of referees for letters of recommendation
POLICY
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 also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.
Curt Langlotz, Professor of Radiology
Natalie Pageler, Clinical Professor of Pediatrics
Nima Aghaeepour, Associate Professor Anesthesiology, Perioperative and Pain Medicine
Olivier Gevaert, Associate Professor of Medicine
Search Committee Co-Chairs
Stanford University School of Medicine
For questions or issues with filling out the application, please contact bscacademicaffairs[at]stanford.edu. Please note, this inbox cannot answer questions regarding application status.
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BACKGROUND
The Department of Biology at Occidental College invites applications for two tenure‐track Assistant Professors of Cellular and/or Molecular Biology with appointment to begin August 2025.
RESPONSIBILITIES
The Department of Biology at Occidental College invites applications for two tenure‐track positions at the rank of Assistant Professor in any area of Cellular and/or Molecular Biology. We seek teacher-scholars who are committed to 1) developing a research program in molecular and/or cellular biology that engages undergraduate students, 2) excellence and innovation in teaching, and 3) promoting inclusivity in both research and teaching.
Occidental faculty are committed teacher-scholars who bring research and creative discovery to life for students in classrooms, labs, studios, and mentored projects. They teach broadly in the curricula of their departments, advise students, carry out research and creative work, and provide departmental, college-wide, and external service. In this position, your primary responsibilities will include the development and teaching of introductory and core courses in the discipline, including courses in your area(s) of specialization. Specific courses that you will teach include introductory and intermediate cellular and molecular biology courses, with the opportunity to develop upper-division courses in speciality areas. You will also be responsible for producing scholarship commensurate with the requirements for tenure, and will be expected to develop a program of research that engages undergraduate students. You will also be expected to contribute to and participate in the life and development of the department, advise students, serve on committees, and participate in the broader college and disciplinary communities.
REQUIREMENTS
- A Ph.D. in Cellular and/or Molecular Biology or a related science discipline
- Evidence of impactful peer-reviewed scholarly research and publications in the field of Cellular and/or Molecular Biology
- Compelling vision for developing a wet lab research program that integrates undergraduate training and mentoring, with potential to attract extramural funding
- Demonstrated commitment to, past evidence of, and future plans for effective teaching and mentoring in the undergraduate setting. Please do not include individual teaching evaluations
- Demonstrated commitment to, past evidence of, and future plans for creating and advancing equitable opportunities for learning and mentoring, especially for students from historically marginalized groups
- Ability to present scientific ideas clearly, in both verbal and written formats, at an appropriate level for the audience
- Commitment to collaborating effectively with colleagues across specialties, departments, or disciplines
PREFERENCES
- Postdoctoral research and/or postdoctoral teaching experience
- Ability to leverage College resources (e.g., genomics center, high-performance computer cluster, or natural history collections) or nearby facilities or natural resources in the Southern California area for research and/or broader impacts
- Prior experience teaching and or mentoring undergraduates
- Demonstrated commitment to engaging broader societal impacts of the scholarly research, e.g., local outreach and community engagement
- Experience teaching and utilizing bioinformatics approaches in the classroom and/or research program
- Prior experience collaborating with colleagues across specialties, departments, or disciplines
- Ability to teach and collaboratively work with campus-based colleagues in departments and programs including Biochemistry, Computer Science, Chemistry, Cognitive Science and Public Health
TERMS
Full-time, tenure-track
COMPENSATION
$85,000-$92,000
HOW TO APPLY
Submit the following materials through Interfolio (https://apply.interfolio.com/150510) to be considered by the search committee. An application includes the following:
- Cover letter
- This letter describes your interest in the position, and the education, experience, and skills you possess that demonstrate your ability to meet all required qualifications and if applicable, preferred qualifications.
- Curriculum Vitae
- Research Statement of ~2 pages
- This statement provides an overview of your current research program and a vision for a future research program at Occidental, including how you will incorporate undergraduate students into the research program
- Teaching Philosophy Statement of ~2 pages
- This statement provides an overview of your teaching philosophy, preferred pedagogical practices, and prior experiences in teaching and mentoring. Please do not include student evaluations.
- Commitment to Inclusive Excellence Statement of ~1 page
- This statement provides your unique perspective on your past and present contributions to and future aspirations for promoting justice, equity, inclusion, and diversity in your professional career. This should include your demonstrated commitment to, past evidence of, and future plans for creating equitable opportunities for learning and mentoring especially for students from marginalized and minoritized groups. You may also speak to how your research and/or service promotes justice, equity, inclusion, and diversity. The purpose of this statement is to help the department identify candidates who have professional experience, intellectual commitments, and/or willingness to engage in activities that could help the College contribute to its mission in these areas.
- List of three references with relevant contact information
- If you advance to the finalist phase, you will be asked to have each of your three references submit a letter of recommendation. Please be prepared to have your referents submit their letters should you move forward to this phase of the search. Do not submit these letters with your initial application.
DEADLINE
To be assured full consideration, your application materials must be received by September 30, 2024.
POLICY
Occidental is an Equal Opportunity Employer and does not unlawfully discriminate against employees or applicants on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, genetic characteristic or information, military and veteran status, or any other characteristic protected by state or federal law. Occidental is strongly committed to increasing the diversity of the campus community and the curriculum, and to fostering an inclusive, equitable, and just environment within which students, staff, administrators, and faculty thrive. Candidates who can contribute to this goal through their teaching, research, advising, and other activities are encouraged to identify their strengths and experiences in this area. Individuals advancing the College's strategic equity and justice goals and those from groups whose underrepresentation in the American professoriate has been severe and longstanding are particularly encouraged to apply.
Salary is commensurate with experience and qualifications. Moving expense reimbursement (up to $5000, taxable according to current IRS regulations), start-up funds, and a one-course reduction of teaching load in the first year are provided. A comprehensive benefits package is available that includes: excellent health, dental, life, and retirement benefits; tuition benefits for the employee, spouse, domestic partner, and dependents; additional extras including use of gym facilities and the College Library. For a detailed description of benefits, please visit https://www.oxy.edu/offices-services/human-resources/benefits-information.
All qualified applicants who submit a complete application by the deadline will be considered for employment, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Occidental College is committed to working with and providing reasonable accommodations to applicants with qualifying disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please contact Human Resources (hr[at]oxy.edu).
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BACKGROUND
SPARK, launched by the Simons Foundation in 2016, is the largest study of autism ever undertaken. It is open to all individuals living in the U.S. with a professional diagnosis of autism and their family members. The initiative aims to improve the lives of people with autism by identifying the causes of autism and informing more effective therapies, treatments, services, and supports. Participants share medical and behavioral information through online surveys. They can also choose to provide saliva samples for DNA analysis. This data is made available to researchers worldwide to explore the genetic underpinnings of autism, identify potential subtypes, and power downstream research. SPARK also engages the autism community by offering participants access to the latest research findings and potential opportunities to participate in additional studies.
POSITION SUMMARY
The Bioinformatics team at the Simons Foundation is seeking a full-time senior bioinformatics engineer. The position will play an integral role in returning genetic results to thousands of SPARK participants, including ASD and secondary health-related variants, as well as work with petabytes of genomics data and develop workflows for a variety of informatics needs across SFARI. The ideal candidate will have experience developing bioinformatics pipelines, coding using software development best practices, and performing reproducible genetic analyses.
The candidate will be responsible for bioinformatics analysis of the SPARK return of genetic results process, including tracking samples from sequencing to return, developing and running analysis workflows, and working with the SPARK return of results (RoR) team on the review and selection of returnable variants. The candidate will also be responsible for packaging SFARI cohort genetic datasets for release in SFARI Base as new sequencing data is received and as other dataset updates are needed.
The senior bioinformatics engineer will report to the Deputy Director of Bioinformatics and will work alongside a growing team, including a software engineer, a data manager, and a data analyst on the Bioinformatics team, as well as with Informatics' engineering team, the SDBR (SFARI Data and Biospecimen Repository) team, and various SFARI cohort teams (SPARK, Searchlight, ABN, etc.).
This is a full-time position based at the Simons Foundation offices in New York City.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES
Return of Genetic Results:
- Manage the bioinformatics portion of the return of genetic results process, including delivery of sequencing data, variant analysis, and clinical validation orders
- Track data deliveries of samples sent for sequencing
- Run quality control pipeline to confirm RoR eligibility
- Run variant filtering and annotation pipelines for SNVs/Indels & CNVs
- Coordinate lab confirmation orders for predicted pathogenic variants
- Analyze and summarize statistics for sequencing batches
- Respond to questions from SPARK or lab related to variant predictions/orders
Maintenance and Development of Bioinformatics Pipelines:
- Implement new features in existing pipelines, as needed
- Design, develop, and test new bioinformatics pipelines, implementing end-to-end workflows that integrate existing tools, to support the needs and goals of SFARI and Informatics
Data Releases:
- Package SFARI cohort genomics datasets for release by performing quality control, integrating data from various sources/versions, and documenting datasets details and methods descriptions
- Answer questions about genomics datasets for data in SFARI Base
MINIMUM QUALIFICATIONS
Education:
- Ph.D. in bioinformatics, computational biology, or related field
Required Skills & Experience:
- At least 4+ years of relevant work experience
- Strong Python skills and software development best practices
- Experience with sequencing data (whole exome or whole genome) and related tools
- Experience performing reproducible data analysis
- Experience working in an HPC environment
- Experience with git/github
- Effective oral and written communicator
- Ability to thrive in collaborative environments
Helpful Skills:
- Project management experience
- Experience analyzing large research datasets (>10,000 individuals)
- Familiarity with core genetics concepts
- Solid understanding of statistical analysis
- Experience generating interactive data visualizations or dashboards
- Desire to continually learn and stay up-to-date with best practices and the latest methods
COMPENSATION & BENEFITS
- The full-time annual compensation range for this position is $150,000 – $175,000, depending on experience.
- In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.
HOW TO APPLY
Required Application Materials:
- Resume / CV
- Cover Letter
- Example code or repositories (e.g., github)
To apply, visit: https://apptrkr.com/5352418
POLICY
The Simons Foundation's Diversity Commitment:
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.
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DESCRIPTION
Your tasks:
- Creation of genome-relevant databases and international networking
- Creation of scripts and evaluations
- Upgrade and maintenance of server applications and operating systems developed by you
- Installation, configuration and maintenance of clients and servers
- Troubleshooting
Your profile:
- Interest in genetics, especially human genetics, molecular genetics
- Completed technical training with a focus on IT (HTL, IT college, FH or university degree in (bio)informatics)
- Or completed training in the natural sciences (biology or similar university degree) with a special interest in IT solutions
- Knowledge of programming and working with cloud applications
- Experience with databases and programming is an advantage
- Good knowledge of Linux, Shell, Windows
- Solution-oriented, structured and independent work, analytical thinking, pronounced quality awareness, willingness to undergo further training, team spirit
What we offer:
- A challenging and varied area of responsibility
- An appreciative working atmosphere
- Attractive social benefits and further training opportunities
- Flexible working hours, home office possible on a daily basis
COMPENSATION
The minimum gross monthly salary according to the collective agreement is currently € 3800 per month (minimum annual salary €53.200,00). Overpayment is possible depending on qualifications and professional experience.
HOW TO APPLY
Please send your application with the usual documents to the:
Center for Medical Genetics Innsbruck
Prof. Dr. med. Johannes ZSCHOCKE, Ph.D.
Peter-Mayr-Str. 1, A-6020 Innsbruck, Austria
Email: humgen[at]i-med.ac.at
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