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    The University of Massachusetts Lowell Department of Biological Sciences invites applications to fill a full-time tenure-track faculty position in Computational Biology/Bioinformatics, at the Assistant Professor level, to start September 2020. We seek an individual developing computational tools or statistical and theoretical models for the analysis of complex large-scale datasets to address quantitative and fundamental biological questions at any scale from molecular to organismal to ecosystems. In addition to the broad research strengths within the Biological Sciences Department ([...]ulty/), UMass Lowell has a diverse and collaborative faculty representing fields such as computer science and engineering, environmental, earth and atmospheric sciences, biomedical and civil engineering, and public health. The successful candidate will be expected to establish a vigorous, collaborative, externally funded research program that involves trainees at all levels, and incorporate their research expertise into new undergraduate and graduate level courses, thereby fulfilling the department's teaching and student engagement missions.


    • Earned doctorate and postdoctoral experience (required at the time of application)
    • The ability to work effectively with diverse student and faculty groups
    • Demonstrated teaching and mentoring abilities at the undergraduate and graduate levels
    • Potential to establish a sustainable externally funded research program
    • Demonstrated publication record in scholarly journals
    • Excellent communication and interpersonal skills


    The University of Massachusetts Lowell is located in the heart of the life sciences supercluster of the northeast region of Massachusetts, which is home to more than 100 life science companies. UMass Lowell offers access to the Massachusetts Green High Performance Computing Center, a world-class computational infrastructure, and has extensive core research facilities on campus with state-of-the-art equipment for molecular analysis. Together with its proximity to the biotechnology and biomedical hub around Boston/Cambridge, the ideal candidate would leverage the ample opportunities that exist for scientific interaction, exchange, and collaboration on campus as well as across the UMass system.


    Special Instructions to Applicants:
    Please submit a CV, cover letter, teaching philosophy and research statement with your application. Names and email addresses of three references will also be required during the application process. The referees will be notified and should upload recommendation letters. Only recommendation letters that are uploaded to the system by the referee will be accepted. Emailed or hard-copy letters will not be accepted.

    To apply, please go to:[...]atics

    Review of applications will begin immediately and continue until the position is filled. However, the position may close once an adequate number of qualified applications are received.


    The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, while promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and to identify your strengths in this area. The University of Massachusetts Lowell is an Equal Opportunity/Affirmative Action, Title IX employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, ancestry, age over 40, protected veteran status, disability, sexual orientation, gender identity/expression, marital status, or other protected class.


    The Winter laboratory at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, is recruiting a computational scientist to develop novel strategies to target undruggable proteins for the treatment of cancer.

    The Project:
    What is the "druggable space" in the human proteome? What proteins can actually be bound by small molecules? How can we determine the mechanism of action of hundreds of small-molecules in an unbiased manner to guide the innovation and characterization of next-generation anti-cancer therapeutics? We hypothesize that a much larger fraction of the proteome is amenable to novel paradigms in drug discovery. The successful applicant will work on these questions as part of - and supported by a multi-disciplinary research team. This exciting project is at the vibrant interface between academia and industry, allowing the candidate to achieve a palpable translational impact.

    The Candidate:
    We are looking for a solution-oriented, persistent researcher (PhD-level) with an independent, well-structured and goal-oriented working style. You should have a proven scientific track record (including at least one first author publication) in the fields of computational sciences (bioinformatics, statistics) and some prior experience with collaborative research in high-throughput biology and -omics technologies. Expertise in proteomics and the development of data-sharing tools is considered a plus. A track record in supervising students or technical assistants would be an asset. The working language at CeMM is English, and excellent written and oral communication skills as well as high accuracy, reliability and excellent interpersonal and organizational skills are a requirement.

    The Institute:
    CeMM is a biomedical flagship institute in the heart of Europe, Vienna. We are committed to highest scientific standards and provide an international environment representing more than 45 nationalities. The working language is English. CeMM has been ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: In the past 3 years CeMM groups published numerous ground-breaking studies in prestigious journals such as Science, Cell, Nature, New England Journal of Medicine, Nature Immunology, Immunity etc. CeMM is located within the medical campus of Vienna and operates several technology platforms (chemical biological screening, proteomics, metabolomics, next-generation sequencing) as well as extensive bioinformatics infrastructure.


    We are offering an attractive salary and employee benefits package including health insurance, company health care, competitive holiday allowance or daily bonus for the in-house cafeteria. CeMM aims to promote equality of opportunity for all with the right mix of talent, competences and potential. We welcome applications from candidates with diverse backgrounds. Please click on the link below to apply online with your application documents (cover letter, CV and names and contact details of 2 referees):


    Closing date for applications: Applications will be reviewed on a rolling basis until the position is filled.



    Genomics England have a very interesting and challenging role available for a Senior Rare Disease Analyst, skilled in statistical and human genetics to join their world-leading team.

    To build on the success of the 100,000 Genomes Project, Genomics England are launching a new NHS Genomic Medicine Service comprising a National Genomic Test Directory where 300,000 tests have been re-profiled and whole genome sequencing will be available for direct healthcare. Through 7 Genomic Laboratory Hubs this offers equitable access to the 55 million people in England to the latest genomic medicine and research. This will lead to faster diagnosis and personalised medicine.

    Genomics England applies state of the art approaches to whole genome sequences for processing, analysis, quality assurance and annotation. This includes integrating phenotypic and other clinical data with whole genome sequencing to create a world-leading, high fidelity data repository for the NHS and third party users.

    The Bioinformatics team develops and applies state of the art approaches to whole genome sequences (WGS) in the areas of:
    • Analysis of WGS in cancer and rare diseases 

    • Sequence alignment and variant calling of up to 100 genomes per day
    • Quality assurance and sample provenance monitoring
    This analyst role is part of a highly motivated Bioinformatics team, working as part of a small team responsible for rare disease analysis.


    Key Accountabilities Include:
    • Carrying out alignment and variant calling, family based analyses and burden and association testing
    • Benchmarking genome analysis pipelines
    • Performing computational analyses for a range of projects
    • Developing and implementing new features
    • Establishing general bioinformatics resources for day-to-day use by colleagues


    Skills Required:
    • Postdoc with experience of working within Rare Diseases and Bioinformatics/Computational Biology and Systems Biology or equivalent work experience
    • Good knowledge of rare disease genomics
    • Have solid training in statistics and or machine learning, and ideally some quantitative background such as a degree in physics, computer science, and maths. These skills could have been developed during a PhD for example through a PhD in computational biology, statistical genomics, and statistical genetics.
    • Practical knowledge of NGS algorithms and available resources
    • Solid skillset in Bioinformatics and experience of working as a computational biologist
    • Solid knowledge of family based analysis and knowledge of association testing
    • Strong programming skills (Python, R); ability to develop codes as a part of team
    • Practical knowledge and understanding of statistics
    • Excellent technical writing skills
    • A demonstrable ability to cope under pressure and deliver to deadlines
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands


    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.


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

    Keywords: Rare, Disease, Analyst, Cancer, WGS, WES, Genomics, Bioinformatics, Python, Pipelines, Statistics, Testing, Writing, Variants, Alignment, Statistical, Genetics, NGS, London


    The Nevada Institute of Personalized Medicine:
    Our Institute believes that we can improve health care through translational clinical scientific research and medical genetics clinical care. We are researching personalized medicine with an emphasis on using genetics to better predict osteoporotic fracture, multi-omics to identify origins of cancers, the immune system in Schizophrenia pathogenesis, the genetic underpinnings of rare disease, and developing better approaches to analyze VUSs and other genetic information for disease diagnosis, prognosis, and treatment. These efforts are supported by our new $11.4M, 5-year Center of Biomedical Research Excellence P20 Grant from NIH in personalized Medicine. Visit our website at to learn more.

    Consider joining our growing group of scientists – current open positions:
    • Faculty in Human Genetics (any rank) [R0112515]
    • Faculty in Bioinformatics (any rank) [R0112965]
    • 4 Postdoctoral Fellowships in Biostatistics and Bioinformatics [R0116338] [R0113080] [R0118405], or inquire at nipm[at]
    • Research Assistant Professor, Bioinformatics [R0116513]
    • Staff Bioinformaticist [R0118088]
    • Graduate Students in Bioinformatics, Genetics, and Biostatistics


    The position application links are at[...]tions. Submit a letter of interest, detailed resume listing qualifications and experience, and the names, addresses, and telephone numbers of at least three professional references who may be contacted. Faculty applicants should also submit a three-page research plan. Although these positions will remain open until filled, review of candidates' materials will begin on December 1, 2019.


    Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch's pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first and largest cancer prevention research program, as well as the clinical coordinating center of the Women's Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

    There is an opening for a post-doctoral fellow to work on multi-modal single cell analysis and software infrastructure in the lab of Dr. Greg Finak at the Fred Hutchinson Cancer Research Center in Seattle, WA.

    About the Lab:
    We are part of the RGLab, the Biostatistics, Bioinformatics, and Epidemiology program and the Vaccine and Infectious Disease Division of Fred Hutch in Seattle. We develop statistical methods and software tools for the analysis of high throughput biological data with an emphasis on immunology and vaccine research. We work with bench scientists and clinicians to understand and ultimately help develop vaccines and/or cure severe diseases such HIV, malaria, and cancer. We are a diverse group, with training in Statistics, Computer Science, Web Development, Bioengineering, Bioinformatics, and Computational Biology. Learn more about us at and see some of our work on GitHub (


    Dr. Finak is seeking a post-doctoral fellow to develop multi-modal (Ab-Seq, CITE-Seq, etc) single-cell assay data infrastructure and analysis as part a CZI Seed Network award to the Bioconductor consortium. The successful candidate will work with a motivated team to develop & implement single-cell specific data structures for storing, manipulating and interacting with multi-modal assay data such as Ab-Seq and CITE-seq, which enable simultaneous measurement of protein and RNA from the same single cell. The candidate will also work to adapt single-cell analytics methods developed in the lab (MAST[...]844-5 , FAUST to work with these data types. The candidate is expected to adhere to good software development practices (e.g. design, unit tests, documentation, code review), and participate in regular team meetings.


    • PhD in Bioinformatics, Computer Science, Computational biology or equivalent field
    • R (advanced) and C++ (intermediate)
    • Unix-alike operating system environment (intermediate)
    • R package development (intermediate)
    • Bioconductor stack (advanced)
    • Software version control (e.g. git working knowledge or greater)
    • Candidate should have a strong work ethic and analytical skills, an ability to work in a team, to meet deadlines and to deliver a robust, well-tested and well-documented, quality codebase.


    • Track record of contributions to open source software projects
    • Excellent written and oral communication skills


    Seattle, WA, USA 98109


    Based on experience


    Please apply on our careers page:[...]w/job


    Open until filled


    Our Commitment to Diversity:
    We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail[at] or by calling 206-667-4700.


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