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    BACKGROUND

    The Segrè lab in the Ocular Genomic Institute and Department of Ophthalmology at Massachusetts Eye and Ear Infirmary (MEEI) and Harvard Medical School is seeking a highly motivated and creative Postdoctoral Fellow who is interested in working on integrative human genetics, genomics, and systems biology problems, and developing novel computational methods that will generate important biological insights on the causes of complex eye diseases. The ideal candidate should have a strong background in statistical genetics, biostatistics, computational genomics, or a related quantitative field, and be broadly knowledgeable about quantitative approaches to large-scale data analysis and excited to contribute to advancing science and medicine of eye disease.

    The overall goal of the lab is to uncover the regulatory mechanisms and causal genes and pathways that affect common eye disease susceptibility, such as glaucoma, age-related macular degeneration, and diabetic retinopathy, and to propose new drug targets and drug repurposing opportunities, leading to new preventative or therapeutic treatments. We will build upon our expertise of developing statistical methods that integrate genome-wide association studies of complex diseases with functional genomics from relevant tissues and other -omics and biological data. This position will be under the supervision of Dr. Ayellet Segrè, an Assistant Professor in Ophthalmology, Harvard Medical School, Genetic Biostatistician at Mass. Eye and Ear, and Associate Member at the Broad Institute of MIT and Harvard. To learn more about the lab please visit: segrelab.meei.harvard.edu.

    RESPONSIBILITIES

    The postdoctoral fellow will work on his or her own research project, in line with the goals of the lab. Possible directions may include developing statistical and computational methods for integrative analysis of genome-wide association studies with expression quantitative trait loci (eQTLs), splicing QTLs, and epigenomic data from retina and other eye tissues to identify genetic risk factors and causal genes for complex eye diseases; analysis of large-scale genetic association studies across multiple complex traits and diseases to identify new drug repurposing opportunities for common eye diseases and predict adverse drug effects; rare variant analysis of coding and regulatory regions to identify causal mechanisms of eye disease. There will be opportunities to follow-up hypotheses in relevant biological systems, and to present ones work at local, national or international meetings. The postdoctoral fellow will work in a multidisciplinary research environment of computational biologists, human geneticists, and experimental and clinical scientists at the Ocular Genomics Institute at Mass. Eye and Ear and will be able to interact with the vibrant scientific community at the Broad Institute of Harvard and MIT.

    REQUIREMENTS

    Requirements include a Ph.D. in Statistical Genetics, Human Genetics, Biostatistics, Functional Genomics, Computational Biology, or a related quantitative discipline. The ideal postdoctoral candidate should have strong quantitative skills, solid knowledge in statistics, in-depth experience with at least one programming language (e.g., Python, R or Matlab), be proficient in Bash or Shell scripting and Unix/Linux environments, and have demonstrated rigorous work, and independent and critical thinking. Previous experience with large-scale data analysis and algorithm development is highly desirable; Research experience with genome-wide association studies, whole genome sequencing, epigenetic and/or RNA-seq data preferred. The candidate should have a good publication record in peer-reviewed journals, strong personal skills, and excellent verbal and written communication and organizational skills. The applicant should be highly motivated to work in a fast-paced and rapidly evolving field and collaborative environment, excited about contributing new ideas to the group, and be passionate about using genomics to advance the understanding and treatment of eye diseases.

    LOCALE

    Ocular Genomics Institute, Massachusetts Eye and Ear, Boston, MA / Harvard Medical School / Broad Institute of Harvard and MIT

    COMPENSATION

    A competitive salary will be provided, along with health and other benefits.

    HOW TO APPLY

    Interested applicants should send their CV, a cover letter describing previous research work and future research interests, and contact information for 3 references, to Dr. Ayellet Segrè: ayellet_segre[at]meei.harvard.edu.

    DEADLINE

    Applications will be reviewed until position is filled.
    Opportunity: Bioinformatician/Data Scientist (f/m) @ CeMM -- Vienna, Austria
    Submitted by CeMM GmbH; posted on Wednesday, September 19, 2018

    BACKGROUND

    The Superti-Furga laboratory is seeking a Bioinformatician/Data Scientist to support the group with core computational analyses, statistical evaluation and expert visualization of systems biology research data. In this role you will also be responsible for the management and the organization of datasets, you will participate in weekly lab meetings and you will collaborate and exchange with our computational scientists group at CeMM.

    The Superti-Furga group consists of a highly active and collaborative team of 29 scientists from 14 nations, investigating large networks of proteins, genes and metabolites, while also focusing on the mechanistic understanding of individual proteins, protein complexes and drug function.

    REQUIREMENTS

    You should have a degree (Master or PhD) in either Computer Science/Statistics or Life Sciences, and you should bring along the following qualifications and skills:

    Required qualifications:
    • Profound programming expertise (e.g. R, Python, Java, ...)
    • Experience working in Linux environments (with Bash scripting is an asset)
    • Experience in adapting and integrating existing bioinformatics tools
    • Solid understanding of statistics
    Desired qualifications:
    • Experience in data analysis in one or more fields of systems biology research (genomics, transcriptomics, proteomics, metabolomics, high-content screening, imaging analysis)
    • More advanced software engineering skills (Git, algorithms, web development)
    You will work in a dynamic and highly collaborative environment, therefore excellent good command of English, interpersonal and teamwork skills are essential. You will contribute to several existing projects and drive or participate in the planning of new ones.

    COMPENSATION

    Why you want to join our team:
    • This is a great opportunity for a bioinformatician to work in an inspiring and dynamic biomedical research setting.
    • You would like to work on data produced on state-of-the-art instrumentation in a variety of systems biology disciplines.
    • You are looking for an inclusive workplace with a highly positive and motivating work climate and you appreciate the possibility to join our cultural, social and sports activities.
    • We are happy to provide help and assistance to all our employees, their spouses and family members in terms of visa and relocation procedures, dual-career and childcare services, and others.
    • We offer a fair employee benefits package including health insurance, company health care, competitive holiday allowance, daily bonus for the in-house cafeteria. Annual gross salary according to the FWF personnel costs scheme, depending on qualifications and experience.
    • The contract for this position would be limited to 2 years, with the option for renewal.

    ABOUT US

    The Institute:
    CeMM is an international research institute of the Austrian Academy of Sciences and founding member of EU-LIFE, an association of leading biomedical research institutes in Europe. CeMM has an outstanding scientific track record, medical translation, and spin-off companies. CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by "The Scientist" placed CeMM among the top-5 best places to work in academia worldwide. Vienna is an international city with a large English-speaking community and frequently ranked the world's best city to live. The official language at CeMM is English, and more than 40 nationalities are represented. CeMM aims to promote equality of opportunity for all with the right mix of talent, competences, and potential thus we welcome applications from candidates with diverse backgrounds.

    HOW TO APPLY

    Please apply online with a cover letter explaining why you are the ideal candidate for this position, your curriculum vitae and contact details of 2-3 referees. Please visit our career page and click on "apply now" to upload your full application in a single PDF file: cemm.jobbase.io/job/ci2a4492

    DEADLINE

    Closing date for applications: 31.10.2018
    Preferred starting date: 01.01.2019

    POLICY

    At CeMM we are committed to increasing the percentage of female scientists working in life sciences, and thus we strongly encourage female applicants.

    Submitter

    BACKGROUND

    100,000 Genomes Project – Senior level – Central London!

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants and work with the NHS to launch the world's first Genomic Medicine Service.

    A fantastic new opportunity has become available for a Cancer Analyst to join their highly motivated Bioinformatics team which is responsible for whole genome sequencing. This role is ideal for a strong Bioinformatician with good Python/R skills and a background in Cancer Genomics.

    RESPONSIBILITIES

    Your main responsibilities as a Cancer Bioinformatician will involve:
    • Developing and applying state of the art approaches to the analyses of whole genome sequences (WGS) of cancer patients
    • Benchmarking tools for cancer WGS analysis
    • Performing computational analyses for a range of projects
    • Developing and implementing new features for cancer sequencing data analysis

    REQUIREMENTS

    The ideal Bioinformatician should fulfil the following requirements:
    • PhD in Bioinformatics or related field or MSc with several years' experience
    • Practical knowledge of NGS algorithms and available resources for cancer bioinformatics
    • Experience with full cycle of analysing NGS data from sequencing QC to annotation and prioritization of variants
    • Experience with handling large data sets and setting pipelines
    • Strong programming skills (Python, R); ability to develop codes as a part of team

    COMPENSATION

    You'll be able to work in their brand new offices in Central London and in return you will receive competitive salary and have the opportunity to work within a successful company in a fantastic location.

    ABOUT US

    Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. This will be a fantastic opportunity for you to take part in the biggest national genome sequencing effort of its kind anywhere in the world, bringing health benefits to UK citizens. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    HOW TO APPLY

    If you'd like to know more and are interested in applying, please contact Anna on alauterjung[at]pararecruit.com or +44 (0) 121 616 3469 with an up-to-date CV. Look forward to hearing from you!

    Keywords: Bioinformatician, NGS, Cancer, Computational Biologist, Bioinformatics, Pipeline, Software, Python, Coding, Linux, Git, Postgres, MongoDB, NGS, WGS, Whole genome sequencing, PhD, MSc, variant calling, Postdoc, Database, UK, London

    BACKGROUND

    The Plant Sciences Department at the Institute of Agriculture in Knoxville TN is seeking 2 (two) Bioinformatics IT Specialist II positions. The department is interested in building computational infrastructure and in pursuing biological discoveries. We operate at the interface between biology, computer science, statistics, and software engineering. Our projects span a wide spectrum of organisms (plants, animals, microbiomes) and technology platforms (genomics, transcriptomics, proteomics). We have a particular focus on building and integrating tools for biological data analysis, data integration and knowledge mining.

    The position being advertised will be involved in one or more Department of Energy funded projects focusing on building tools and infrastructure for management, analysis, integration and mining of biological data. Current representative projects include cbi.ornl.gov and kbase.us.

    Prior experience with open-source software is strongly preferred. Including links to public code repositories is strongly recommended.

    RESPONSIBILITIES

    Develop bioinformatics workflows and web-enabled software for biological data analysis and data mining. Work with other researchers in the group to Integrate experimental data with existing data derived from the model organism databases. Implement this software in a production setting, including integration with query builders and visualization tools; build test suites and document technical details. Collaborate with researchers and contribute to publications.

    REQUIREMENTS

    A BS degree in Computer Science or related field or an equivalent amount of experience. Requires a minimum of three years' experience in software application development and programming. Must have proven expertise in building robust software in a multi-developer environment. Must be capable of leading more junior developers.

    PREFERENCES

    MS degree in Computer Science or related field and 1+ years experience, jQuery, d3, Docker, Python/, Java, R/Bioconductor, MongoDB, git and familiarity with software tools for omics data analysis and integration.

    HOW TO APPLY

    Please submit your CV and a cover letter via hr.utk.edu. Cover letter should detail experience with building an open source biological data analysis and data integration system.

    For more information: Inquiries about this position should be directed to Priya Ranjan at pranjan[at]utk.edu.

    POLICY

    EEO/AA Statement /Non-Discrimination StatementThe University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.

    Inquiries and charges of violation of Title VI (race, color, national origin), Title IX (sex), Section 504 (disability), ADA (disability), ADEA (age), sexual orientation, or veteran status should be directed to the Office of Equity and Diversity (OED), 1840 Melrose Avenue, Knoxville, TN 37996-3560, telephone (865) 974-2498 (V/TTY available) or 974-2440. Requests for accommodation of a disability should be directed to the ADA Coordinator at the Office of Equity and Diversity.

    BACKGROUND

    HJF is seeking a Research Data Manager to support the DoD Osseointegration Program at the Walter Reed National Military Medical Center (WRNMMC) located in Bethesda, MD.

    Overview:
    The Research Data Manager will work directly with the DoD Osseointegration Program Leadership, Orthopaedics and collaborating partners to ensure efficient, effective and productive functioning of the multi-center database program, manage clinical trial data and other priority research activities.

    RESPONSIBILITIES

    1. Managing data curation, storage, and safe guard of ongoing and future clinical research databases.
    2. Perform systematic quality control and assurance measures per SOPs to identify and reconcile data discrepancies.
    3. Extracts, transforms, aggregate, and de-identifies data from multiple Military Health System sources to produce analytical data sets for researchers.
    4. Conducts data extraction, modeling, and analysis using SAS, STATA, R and/or Python.
    5. Be responsible for safe and IRB-compliant handling of medical information and patient consent forms, per guidelines.
    6. Interact and maintain professional demeanor with members of scientific research staff, Programmatic staff, collaborating researchers as well as WRNMMC staff and patients.
    7. Organize and maintain patient research files according to approved SOPs.
    8. Evaluate and deliver feedback on data collection and QA/QC processes to improve data reliability and reproducibility.
    9. General administration/clerical duties such as research chart hard copy and e-filing as well as preparation of research records for scanning.
    10. Data Analysis, basic statistical analysis, and data modeling
    11. Be able to graphically represent data for presentation, publication and program reporting.
    12. Excellent writing and communication skills.
    13. Completes other duties as assigned.

    REQUIREMENTS

    Excellent verbal and oral communication skills. Knowledge of research methods, proficiency in Microsoft Office, relational databases, data uploading, and data set creation for quality assurance and control purposes; Ability to understand and learn medical terminology related to the orthopaedics, osseointegration and related medical specialties. Ability to handle multiple tasks at one time, meet deadlines and to work with minimal supervision.

    Minimum Education/Training Requirements: Bachelor's degree required in a science, statistics, Bioinformatics, computer sciences or related disciplines. Master's degree preferred. Must be familiar with or knowledgeable in R, Python, SQL, STATA, RedCap, OpenClinica, SAS.

    Minimum Experience: 3 to 5 years' experience providing quality assurance for human subject clinical trials and or data management and modeling.

    Physical Capabilities: Ability to sit for prolonged periods of time at a computer and/or desk.

    Supervisory Responsibilities/Controls: Reporting structure will include an on-site Senior Program manager as the primary Supervisor and the DoD Osseointegration Director as secondary supervisor. No staff supervision required.

    Work Environment: Office environment

    Security Requirements: US Citizen required; eligibility to obtain and hold a Secret Clearance in accordance with DoD personnel security regulations and requirements. Active Interim or Secret Clearance preferred.

    Additional: There is no parking available on site. Alternate means of transportation will be required (i.e.: metro, bus, bike).

    HOW TO APPLY

    Please visit careers.hjf.org

    BACKGROUND

    The Leidos Biomedical Research, Inc.'s (LBR) staff of scientific, technical, and support professionals conducts basic and applied research in cancer and AIDS. One of LBR's primary responsibilities is to operate the Frederick National Laboratory for Cancer Research, a Federally Funded Research and Development Center focused on cancer and AIDS research. The LBR Biospecimen Research Group (BRG) based in Rockville, MD supports work being performed for the National Cancer Institute's Center for Strategic Scientific Initiatives (CSSI) specifically the Clinical Proteomic Tumor Analysis Consortium (CPTAC) which is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer with the primary goal to improve the ability to diagnose, treat and prevent cancer by systematically identifying proteins that derive from alterations in cancer genomes and related biological processes, and provide this data with accompanying assays and protocols to the public. In addition, BRG supports many initiatives for the NCI Center for Cancer Genomics (CCG) that support continued collection, processing and analysis of clinical and genomic data.

    THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL.

    RESPONSIBILITIES

    The Bioinformatics Scientist III key roles and responsibilities are:
    • Work with other members of the leadership team to plan and manage a large biomedical research project
    • Provide thought leadership and innovation in the application of bioinformatics in the field of cancer genomics
    • Provide expertise in the collection, management, and analysis of data supporting research in cancer genomics including expertise in relevant analytical tools, pipelines, and data standards
    • Solve complex scientific problems and identify opportunities for improvement and automation
    • Perform system and data validation ensuring that released data adheres to high quality data standards. This includes developing scripts to analyze data, compare with external databases, and review test results
    • Work with the customer to effectively scope project initiatives and translate scientific needs into system functionality
    • Manage relationships and communications with all project stakeholders including customers and end users in the research community
    • Stay abreast of broad scientific knowledge of existing and emerging bioinformatics tools and state-of-the art pipelines

    REQUIREMENTS

    To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
    • Possession of a Ph.D. degree from an accredited college or university according to the Council for Higher Education Accreditation(CHEA). (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency
    • In addition to education requirements, a minimum of ten (10) years of experience in basic and applied biomedical research
    • Experience in bioinformatics, biostatistics, data collection and management procedures, and analytical tools and methods
    • Must be able to obtain and maintain a security clearance
    Expected Competencies:
    • Candidates must exhibit strong written and verbal communication skills and be able to brief stakeholders in the scientific research community on bioinformatics activities
    • Candidates must have advanced scientific knowledge in the field of cancer genomics and broad knowledge in the application of information technology
    • Candidates must be capable of providing thought leadership and innovation in project initiatives

    PREFERENCES

    Candidates with these desired skills will be given preferential consideration:
    • Knowledge of the field of cancer genomics

    TERMS

    Full Time

    LOCALE

    Rockville, MD

    HOW TO APPLY

    Please visit careers.leidos.com/jobs[...]i-nci

    DEADLINE

    None

    BACKGROUND

    The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC) located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Our Autoimmune Disease Institute houses Centers of Excellence and specialty research clinics for Rheumatic Diseases (focusing on Lupus, Rheumatoid Arthritis, UCTD, and Sjogren's) and for Multiple Sclerosis and related diseases. In addition to following over 4,000 patients with these conditions, teams of basic and clinical investigators conduct extensive clinical, translational and mechanistic research using samples obtained from these large clinical programs. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org.

    Join our dynamic team in a well-funded research group in an autoimmune disease center of excellence. We are focused on studying immune mechanisms associated with autoimmunity and translational research questions. Dr. Joel Guthridge and Dr. Judith James are seeking a Post-Doctoral Fellow with a strong immunology and/or bioinformatics/data science background to be part of the team working to apply precision medicine and molecular phenotype classification approaches to clinical and translational autoimmune disease research to improve the lives to patients with autoimmune disease. Large datasets for analysis are already available and growing daily.

    RESPONSIBILITIES

    The successful candidate will help lead efforts to apply computational and new statistical tools to molecular phenotype pipelines for patient characterization and stratification, assist with data analysis, modeling, visualization and interpretation of clinical and experimental data. We have access to an extensive curated electronic clinical research health record and experimental data warehouse already available to be leveraged for these projects. The team utilizes high throughput bimolecular assays, deep cellular phenotyping, and single cell genomic and proteomic methods through our Human Phenotyping Core. We also have access to high performance computational resources both in-house and through cloud-based resources.

    This is a mentored position for postdoctoral training. Incumbents at this level plan, design and conduct analysis plans for research projects; prepare reports and papers for publication, presentation and future research; contribute to grant writing and are encouraged to write applications for fellowships. Successful candidates will learn the complexities of data analytics/research lab management and participate in various lab management responsibilities.

    Benchmark Expectations:
    • Conduct scientific research/data analysis.
    • Manage research projects.
    • Contribute to grant writing; prepare reports and papers for publication.
    • Present scientific/technical information both formally and informally.
    • Work collaboratively and collegially as part of the team while learning to become an independent investigator.

    REQUIREMENTS

    Knowledge, Skills, and Abilities:
    Knowledge of the principles and practices of scientific theory and research; demonstrates skill in formulating and testing hypotheses; demonstrates ability to conduct scientific research analysis and summarize data and results; writes technical, scientific papers; writes grants and communicates effectively both orally and in writing; mentor students; provides analytic support and input to other projects in the group and guides/directs the work of less senior scientists.

    Minimum Qualifications: Ph.D. in a biological science, chemistry, physics or other relevant area, M.D., or equivalent

    Minimum Degree Required: Doctorate

    Preferred Qualifications: Doctorate in Immunology, Clinical Science, Bioinformatics, Biostatistics, or related quantitative field.

    Demonstrated basic computer (UNIX, R or similar statistical package), statistical experience in multivariate and machine learning analysis. Strong oral and written communication skills. Must be efficient with time and project management, with a strong organizational ability with exquisite attention to detail. Must have the ability to multi-task and work both independently and as a member of an interdisciplinary team with complementary skill sets.

    Evidence of applied analysis experience of immune and genetic data is strongly desired. Programming skills, data visualization and ability to develop meaningful interfaces for end-users to access high-dimensional data in a meaningful way are also desired. Exposure to biomedical, genetic and/or clinical research preferred. Experience with univariate and multivariate analyses, machine learning, clustering, pathway, genetic and genomic data analyses and bioinformatics is helpful. Experience or training in database design, development, implementation and data structures are also helpful.

    Physical Demands: Regularly required to stand, use manual dexterity, talk or hear; Frequently required to walk and reach with hands and arms; occasionally sit; frequently lift and/or move up to 50 pounds; vision abilities include close vision, color vision, depth perception and ability to adjust focus.

    Potential exposure to fumes, airborne particles, or rodent dander. May work with toxic, caustic chemicals, radioactive materials, liquid nitrogen, human tissue or blood. Potential risk of electrical shock. Occasional exposure to cold 4C, and/or extreme cold -80C from freezers. Noise level is usually moderate.

    TERMS

    Position Type: SCIENTIFIC
    Classification: Ongoing
    Status: Full-Time

    HOW TO APPLY

    Application Type Accepted: General Application
    Required Applicant Documents: Resume/Curriculum Vitae
    Optional Applicant Documents: Cover Letter

    Quicklink for Posting: jobsearch.omrf.org/appl[...]51904

    Posting Number: 0001171
    Title: Post-doctoral Fellow
    Working Title: Post-doctoral Fellow / Bioinformatics Specialist
    Department: Arthritis & Clinical Immunology – Guthridge

    Submitter

    BACKGROUND

    Pharmaceutical, Translational Bioinformatics

    A global pharmaceutical company are currently growing their Computational Biology capabilities in Connecticut and require a new Director Computational Biology to join the organization in this exciting stage and support the future growth of this department. Currently this team has 3 senior members and we are looking for a Director to lead this group and partner closely with the Head of Cancer Immunology.

    As a member of the Global Computational Biology team, you will provide strong organizational, technological and scientific leadership of the US Research Computational Biology Organization to support the development of New Therapeutic Concepts and discovery of biomarkers to enable early and robust development of molecules towards Proof of Clinical Principle. Support to be provided across all needed therapy areas, technologies and scientific platforms.

    RESPONSIBILITIES

    • Responsibility for the US Research Computational Biology organization to provide scientific, technical and organizational leadership including creating a culture focused on quality, innovation and strong partnership with the Discovery Research TAs
    • Place highest priority on projects where CompBio will have strongest impact on progression or achievement of Proof of Clinical Principle (PoCP)
    • Contributing to the global organization by influencing the strategic direction/plan for Computational Biology vetted by an external advisory board
    • Influencing/contributing to global topics regarding access and use of clinical data for research purposes and participating influentially in the global computational biology organization
    • Influences the development of Cancer Immunology Research TA strategies, especially target identification and validation, and identification of translational biomarkers to enable rapid clinical progression around testing of novel therapeutic
    • Champions the integration of genomics data and bioinformatics tools as a foundation to drive innovation in the TA portfolio integrating internal and external collaborations and capabilities, including developing an external strategy to support the TA
    • Ensures strong alignment and excellent collaboration with Computational Biology Partners for Immune Modulation and Cancer Research to identify synergies, avoid redundancies and distribute strategic projects
    • Ensures that the analysis plans for TA project portfolio are high quality and in place. Interfaces with Comp Bio experts, IT, and other functions globally to ensure the TA bioinformatics needs are met
    • Manage the US department operating budget, in alignment with the SLC Sponsors including outsourcing and capital components, to ensure that financial and people resources are aligned and managed to achieve delivery goals.
    • Develop a culture of accountability, results, innovation and collegiality within the Computational Biology organization by establishing performance expectations and hiring and developing top talent to achieve organizational delivery goals.

    REQUIREMENTS

    • PhD with minimum 8 years experience in biochemistry/immunology/molecular biology and/or genomics with technical expertise in informatics
    • At least 5 years leadership experience leading people at all levels through challenging scientific priorities
    • Recognized expertise through publications and presentations in the area of computational biology with knowledge of target discovery, biomarker discovery and development
    • Strong experience from the pharmaceutical industry
    • Candidate needs to have demonstrated achievement in impacting pipeline and or development of scientific strategies in computational biology
    • Outstanding communication and proven ability to lead senior members of a team
    • Experience working in global matrix organizations
    • Demonstrated experience and success in supporting programs at various stages in the value chain through computational biology programs
    • Deep scientific knowledge in a discipline such as Biochemistry, Pharmacology and Informatics including application to computational biology
    • Have a proven track record of applying computational biology from a very early project stage through PoCP.
    • Strong insights to immunology and cancer

    COMPENSATION

    As an employee with this organization you will actively contribute to the discovery, development and delivery of products to patients and customers. This company allow the opportunity for all employees to collaborate internationally and progress within a healthy working environment. Meaningful work, diversity and work-life balance and all important factors for this organization and employees are rewarded with a fantastic compensation and benefits plan.

    HOW TO APPLY

    Please contact Jade on +1 (0) 6172038507 or at jpage[at]pararecruit.com for more information, or apply to this advert and send along your CV. We are looking forward to hearing from you.

    Keywords: Director Computational Biology, Bioinformatics, Cancer Immunology, Translational Bioinformatics, United States, Pharmaceutical Company, East Coast, Connecticut

    BACKGROUND

    The Max Planck Institute for Plant Breeding Research (MPIPZ) in Cologne is looking for a

    Senior Scientific Programmer / Analyst

    This is an independent, self-organized position in a vibrant international environment where fascinating, ground-breaking research is being conducted. You will have the opportunity to actively shape your role and tasks while working closely with leading scientists for whom you will provide research support, develop and maintain software systems that enable scientific tasks and operation of computer-based processes at the Institute.

    Technical expertise, social competence, excellent communication skills and the willingness to constantly learn and dive into new topics are essential requirements to succeed in this position. Prior experience of working with biologists is desirable but not essential.

    RESPONSIBILITIES

    Your duties:
    • Database programming
    • Web application development
    • Mobile client programming
    • Server-side programming
    • Analyze scientific processes and work flows and help automate them
    • Support of scientific applications
    • Training of scientific users
    • Reporting and presenting to Directors

    REQUIREMENTS

    Your profile:
    • Strong experience with advanced programming languages (Python, Java, C++ or similar)
    • Experience with SQL (MySQL or PostrgreSQL beneficial)
    • Experience with Linux Servers (Debian beneficial)
    • Experience with source code repository systems (Git beneficial)
    • Fluency in spoken and written English, German beneficial
    • Ability to communicate with scientists and to translate the communication into software specifications

    COMPENSATION

    We offer an attractive setting in a brand new and friendly work environment, an ambitious team, excellent infrastructure, as well as interesting and varied tasks. Initially, the contract is limited to two years with excellent possibilities for renewal. Your salary will be based on your qualification and experience and follow recommendations of TVÖD. Social benefits correspond with those of the public service.

    HOW TO APPLY

    We are looking forward to receiving your full and comprehensive application by 5 October 2018. Please upload your application here:

    lotus2.gwdg.de/mpg/[...]ungen

    Only shortlisted applicants will be contacted and the search will continue until a suitable candidate is found.

    For questions please contact Ute von Ciriacy-Wantrup at (ciriacy[at]mpipz.mpg.de).

    POLICY

    The Max Planck Society is an equal opportunity employer. Handicapped individuals are particularly welcome to apply. Further, the Max Planck Society seeks to increase the percentage of women in those areas where they are underrepresented and therefore we explicitly encourage women to apply.

    BACKGROUND

    Department: Arthritis & Clinical Immunology – Guthridge

    The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC) located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Our Autoimmune Disease Institute houses Centers of Excellence and specialty research clinics for Rheumatic Diseases (focusing on Lupus, Rheumatoid Arthritis, UCTD, and Sjogrens) and for Multiple Sclerosis and related diseases. In addition to following over 4,000 patients with these conditions, teams of basic and clinical investigators conduct extensive clinical, translational and mechanistic research using samples obtained from these large clinical programs. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org.

    RESPONSIBILITIES

    Our Translational Informatics group is seeking a data analyst/bioinformatician to support both our clinical and basic research programs in autoimmune disease. Projects will include the application of precision medicine and molecular phenotype classification of subjects using machine learning approaches, high content data analysis, data visualization and reporting for publications and grants, bioinformatics analyses of results from various transcriptomic/genomic assays. This position involves working both independently and as part of the translational informatics team.

    REQUIREMENTS

    Minimum Qualifications:
    • Bachelors degree in Bioinformatics, Math, Statistics, Biostatistics, Computer Science, MIS, or relevant field and 2 years relevant experience or a combination of relevant experience and education.
    • Strong project management, organizational, attention to detail, analytical, customer service, and verbal and written communication skills required.
    Preferred Qualifications:
    • Masters degree or PhD in Biostatistics/Bioinformatics desired. Programming experience is a plus.
    Physical Demands:
    • Regularly moves about the work environment, talks, hears and listens. Occasionally lifts or moves up to 10 pounds. Requires the ability to see. The noise level and typical work conditions are consistent with an office environment.

    HOW TO APPLY

    Apply online at apptrkr.com/1290474

    POLICY

    EEO/AA Employer/Vet/Disabled

    BACKGROUND

    A bioinformatic postdoctoral position is available at the Johns Hopkins University School of Medicine working with Dr. Jiang Qian. We are interested in developing and applying computational approaches to the single cell transcriptomic analysis of retinal cells, with an emphasis on construction of regulatory networks involved in retinal development and degeneration. We have been working on a variety of projects, including identification of protein-DNA interactions (Cell, 2009; eLife, 2013), characterization of transcription factor-microRNA interaction patterns (NAR, 2008), analysis of gene expression in different tissues (Nature Neuroscience, 2010), determination of the dynamics of splicing events during development (NAR, 2011), DNA methylation and tissue specific expression (NAR, 2013; Epigenetics & Chromatin, 2013), and DNA methylation and eye disease (Arch Ophthalmol, 2012; Cell Rep, 2013). For more details of our research, please visit bioinfo.wilmer.jhu.edu.

    REQUIREMENTS

    We are seeking highly innovative and motivated individuals with bioinformatic experience with strong programming skills and a background in statistics. The ideal applicant would also have experience in RNA-seq and single cell analysis, but such experience is not a requirement. Additionally, a non-biological background with strong training in another area of science (e.g., physics or statistics) would also be appropriate.

    HOW TO APPLY

    Applicants should forward a CV, and the names and contact information of 3 references to Dr. Jiang Qian (jiang.qian[at]jhmi.edu).

    Submitter

    RESPONSIBILITIES

    This is a great opportunity for a HPC Lead to join a world renowned organisation within life sciences, based in London. You will be responsible for leading the HPC group as well as developing, managing and maintaining the HPC systems within the organisation and to assist in the design and implementation of high volume, high throughput or high compute-intensive (HCI) systems.

    Responsibilities include:
    • To be overall responsible for High Performance Computing, and be recognised as the primary point of interface.
    • To be responsible for leading and managing the HPC group within the Scientific Computing Team, ensuring the group has appropriate skills and resources.
    • To provide strategic input to the Head of Scientific Computing related to HPC developments and future direction.
    • To plan and implement HPC development, including upgrades and capacity planning.
    • To manage, maintain and support the organisations HPC Systems, including:
      • Responsibility for all elements of the systems and services
      • Ongoing and regular maintenance of all elements of the services
      • Ongoing and regular testing of the integrity of these systems
      • Performance and capacity management.
    • To oversee and support delivery of HPC support services for members of the organisation, including:
      • Scheduling and throughput monitoring
      • Scripting and parallelisation
      • Code optimisation
      • Consultancy and training to users.
    • To participate in project work and project management as required.
    • To oversee and undertake design, systems integration and implementation, including:
      • Links to scientific and medical equipment
      • Data throughput and workflows
      • Networking and file management systems

    REQUIREMENTS

    Experience Required Include:
    • Supporting clusters and shared memory HPC systems
    • Managing Unix / Linux systems
    • HPC messaging software and interconnects
    • Shell and Perl scripting
    • Job schedulers and associated HPC infrastructure software
    • Computer problem resolution procedures and techniques
    • Storage Area Networks and parallel file systems
    • Working in consultative and support capacity for users
    • Use of DevOps tools (such as Puppet) for server management
    • Knowledge of private (e.g. OpenStack) and public Cloud for HPC
    • Knowledge of containerised solutions for process management
    • Software tools for bio-sciences
    • Working in a research environment
    • HPC compilers, for example MPI and OpenMP
    Skills Required Include:
    • Ability to lead small team, inspire, set direction, manage, ensure excellent delivery of services
    • Knowledge of current HPC technology developments and trends
    • Excellent communication skills, both written and verbal
    • Excellent analytical and investigative skills
    • Lustre, GPFS
    • Unix/Linux system administration
    • Shell, Python and Perl scripting

    COMPENSATION

    There are some great benefits available with this position including a competitive salary and the chance to work with some of the brightest minds in the industry, looking to revolutionise the way healthcare is carried out in the UK.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: HPC, High, Performance, Computing, Manager, Team, Leader, Cancer, Life Sciences, HCI, Clusters, Linux, Shell, Perl, Python, DevOps, Cloud, BioScience, High, Throughput, London.
    Opportunity: Support Bioinformatician @ Genomics England -- London, UK
    Submitted by Eugene Mc Daid; posted on Thursday, September 06, 2018

    Submitter

    BACKGROUND

    100,000 Genomes Project – Central London – Research Services!

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.

    Currently their Research Services team are looking for a Support Bioinformatician with a background in Bioinformatics, Data Analysis and Statistical Genetics/Genomics to provide high calibre research support to external researchers and industrial partners by delivering custom analyses, facilitating access to datasets and ensuring optimal use of their Research Data Centre.

    This role would suit someone with a strong background in both Bioinformatics and preferably Statistical Genetics (GWAS, cohort studies, population genetics) with some experience in Data Analysis and Pipeline Development.

    RESPONSIBILITIES

    Your main responsibilities as a Support Bioinformatician will involve:
    • Understanding the company's research environment and being both a super user and advocate internally and externally
    • Supporting users with how to use their software and data and carrying out custom analyses on demand
    • Understanding customer needs (academic, NHS and industry) and working with customers and working with them to ensure their scientific projects are successful
    • Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions
    • Managing data, QA releases, supporting data intake and extraction through airlocks and adding external data to their environment

    REQUIREMENTS

    The ideal Support Bioinformatician will meet the following requirements:
    • Educated at degree level in a relevant discipline (Statistical Genetics, Bioinformatics, Data Analysis) – either PhD or MSc and several years' work experience
    • Evidence of experience in data analysis and genomics research using large genomics datasets of NGS data alongside clinical data. This could be any involvement in GWAS, cohort studies, population genetics, etc.
    • Demonstrated knowledge and competence in Python and preferably R for statistical analysis as well as experience with statistical methodologies
    • Experience of working in a knowledge sharing environment

    COMPENSATION

    In return you will receive a competitive salary and the opportunity to make a real difference and contribute to the project at its most exciting phase. Due to growth they now also have new modern offices.

    ABOUT US

    Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. They are working with the NHS to launch the world's first Genomic Medicine Service. Patients will have access to personalised treatment when there was no option for them before.

    HOW TO APPLY

    If you'd like to know more about the position and apply, please feel free to contact Anna with an up-to-date CV (alauterjung[at]pararecruit.com or +44 (0) 121 616 3469).

    Keywords: Bioinformatics, Data Analysis, Bioinformatician, Statistical Genetics, Statistical Geneticist, Statistical Genomics, Statistics, GWAS, genome wide association, cohort, population genetics, Genetic data, Clinical data, Pharmaceutical, Python, R, genome sequencing, whole genome, WGS, NGS, Scientist, Bioinformatics, UK, London

    BACKGROUND

    A bioinformatics postdoc position is available at the UCSF Benioff Children's Hospital Oakland Research Institute. Our research group is interested in examining gene expression (from RNA-seq data) at multiple time-points to understand expression changes that occur over time and how they may influence clinical symptoms of rheumatoid arthritis. We are also interested in examining a potential role for long non-coding (lnc) RNAs as epigenetic regulators of expression over time, and their influence on clinical phenotypes.

    RESPONSIBILITIES

    The successful candidate is expected to take a lead role in the bioinformatics analysis of RNA-seq data (coding and lnc RNAs) from multiple data points to evaluate changes in expression, and to perform statistical analyses to assess associations with clinical phenotypes. Co-expression analyses will also be involved. For further info on the project, see www.RApregnancy.org.

    REQUIREMENTS

    Applicants should have a Ph.D. in bioinformatics, computational biology, statistics or similar field, and must be proficient in statistical and scripting programming languages. Preference will be given to candidates with prior experience in analyses of RNA-seq data, other omics data, and co-expression analyses.

    HOW TO APPLY

    Email cover letter, CV and contact info for 3 references to contact[at]RApregnancy.org.

    BACKGROUND

    The Waisman Center (www.waisman.wisc.edu) at the University of Wisconsin-Madison is an interdisciplinary research center internationally recognized for its pioneering contributions to the understanding of intellectual and developmental disabilities (IDD). The center supports interdisciplinary research of 63 faculty from 24 academic departments across 8 schools/colleges spanning biochemical, molecular, cell biological, animal model, human and animal brain imaging, and human cognitive and behavioral analyses. It also hosts an array of clinics specialized in various IDD conditions with > 2,800 unique patients per year. The Waisman Center is home to an Intellectual and Developmental Disabilities Research Center (IDDRC), a University Center for Excellence in Development Disabilities (UCEDD), and a Leadership Education in Neurodevelopmental Disabilities and Related Disorders (LEND) programs, all federally-designated.

    The Waisman Center seeks to hire three new tenure-track faculty members at the rank of Assistant Professor, Associate Professor or Professor, all with appointments in relevant home departments, with expertise and interests in functional genetics/genomics of IDD cross the lifespan. One of the three positions is a biostatistician/bioinformatician (PVL# 94255) with a focus on developing both computational and statistical strategies to identify risk genes and/or gene networks for neurodevelopmental or neurodegenerative diseases. A prime area of interest is to develop, refine, and operate next-generation sequencing pipelines/tools to streamline bioinformatics pipelines for different study designs including variant calling and annotation, de novo variant and copy number variation detection, somatic variant calling, amplicon and gene panel analyses, variant interpretation, and correlation with clinical outcomes.

    RESPONSIBILITIES

    Principal duties include:
    • Develop an independent, vibrant, collaborative, extramurally funded research program, specializing in developing both computational and statistical strategies in genetics and genomics.
    • Collaborate with investigators at UW-Madison and/or its partner institutions in the broad area of biostatistics and/or biomedical informatics.
    • Publish results in leading biostatistics and/or biomedical journals appropriate to areas of application.
    • Teach courses, usually about 1 per year, to undergraduate and/or graduate students.
    • Train and mentor graduate students and postdoctoral researchers.
    • Participate in professional and university service appropriate to the faculty rank.

    REQUIREMENTS

    Applicants must have a doctoral degree (PhD, ScD, or equivalent) in biostatistics, statistics, biomedical informatics, computer science, computational biology, or a closely related quantitative area. Area of specialization: development and application of quantitative approaches and methodologies in genetics and genomics. Preferred candidates should demonstrate interests in both methodological development and collaborative applications, and in motivating their methodological research through such biological, clinical, and/or public health sciences. Years of experience will be commensurate with the rank sought. All candidates must have proven success in leading and conducting research and teaching appropriate to their stage of career. A key consideration is the ability to and interest in working in a collaborative interdisciplinary environment. Modern laboratory space, extensive computational infrastructure, and substantial resources are available. The successful applicants are expected to develop vibrant, collaborative, extramurally-funded research programs in any of the areas described above. Any department listed on the PVL (major/primary or other/secondary) may serve as the tenure home of the successful candidates. The successful candidates must fulfill departmental requirements to obtain tenure.

    LOCALE

    Madison, WI

    HOW TO APPLY

    To ensure full consideration, applications must be received through Jobs at UW portal (jobs.wisc.edu) by November 1. To apply, please click on the "Apply Now" button at jobs.hr.wisc.edu/cw/e[...]-hire. Applicants will be asked to upload the following four items: (1) cover letter (specify which one of the three positions you are applying for), (2) curriculum vitae, (3) 3-page statement of research interests, and (4) 1-page statement of teaching interests, along with contact information of three references we will contact to request confidential letters of recommendation.

    DEADLINE

    November 1, 2018

    POLICY

    We seek candidates who embrace diversity in the broadest sense. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
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