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    Latest announcements


    Cerevance is a new pharmaceutical company harnessing a novel technology platform to deliver life-changing therapeutics for patients with central nervous system diseases. We are seeking to recruit an experienced Bioinformatician based in our Cambridge, UK facility. Cerevance is generating a large and diverse human CNS expression data set from which new targets are being identified for innovative drug discovery programmes.


    Providing analytical support for the CNS expression project, including pipeline operation, data integration and systems approaches. Identification of novel drug targets is a key output. Application of statistically robust methods is essential.

    Conducting ad-hoc bioinformatics analyses in support of various internal projects, including analysis of internal and public domain expression data, public domain association studies, known variants, and pathway and network analysis.

    Maintaining a close iterative relationship with the biology teams that generate and consume data. You will provide analysis results in easily accessible formats and guide these teams in their use.


    The ideal candidate is likely to have a relevant MSc or PhD, experience of working in bioinformatics and a strong record of creativity. You will possess excellent technical informatics and applied statistics skills, particularly with respect to RNA-Seq data sets, but also including relevant technologies such as Perl, R, Bioconductor, SQL, Linux, and public domain data sets.

    Good interpersonal and communication skills are essential as you will be working closely with our scientists in support of our research projects.


    Cerevance offers competitive salary and benefits packages.


    Covering letter and CV should be sent to recruitment[at] by the closing date of July 31st.



    "As a matter of truth in advertising, the 'finished' sequence isn't finished," said Eric Lander, who led the lab at the Whitehead Institute that deciphered more of the genome for the government-funded Human Genome Project than any other. "I always say 'finished' is a term of art."

    "It's very fair to say the human genome was never fully sequenced," Craig Venter, another genomics luminary, told STAT.

    "The human genome has not been completely sequenced and neither has any other mammalian genome as far as I'm aware," said Harvard Medical School bioengineer George Church, who made key early advances in sequencing technology.


    Job Summary:
    There is an immediate opening for a Bioinformatics Specialist in the Bioinformatics Core Facility at the La Jolla Institute of Allergy and Immunology (LJI). The position involves primarily running and maintaining the customized next-generation sequencing pipelines at the Institute. Pipelines have been created using open source tools for mapping and differential coverage analysis of various NGS datasets (RNA-seq, ChIP-Seq, shRNA, etc.). The candidate's main responsibilities will include running new datasets through these pipelines as they come off of our in-house Illumina sequencers, performing basic quality controls, and debugging errors when necessary. Results will need to be conveyed to the principal researcher. With demonstrated abilities, the candidate will also have the opportunity to contribute new code to the pipelines and/or develop novel analyses. Although the primary responsibilities relate to NGS data, there will be numerous opportunities to work with various other data types as well. The candidate should, therefore have excellent oral and written communication skills, be comfortable with dealing with a variety of data types, be familiar with standard bioinformatics practices and databases, and have a solid understanding of statistics for biology.


    Leveling Requirements:
    The successful candidate will be able to thrive in a fast-paced environment, understand priorities, complete tasks in a timely manner, and communicate effectively with non-bioinformatics staff. If the interest and ability are demonstrated, the candidate will have the opportunity to contribute to academic publications at LJI.

    This is an excellent opportunity to gain experience working with large-scale, next-generation sequencing datasets and directly contribute to projects aiming to improve human health.

    Education and experience:
    • B.S. or Masters in Bioinformatics or related field with demonstrated programming experience
    • 1-2 years experience working with NGS datasets in a production setting preferred
    • Familiarity with standard bioinformatics practices and databases
    • Experience with next-generation sequencing datasets and tools
    • Programming experience in at least two of the following languages: Perl, Python, Java, C, C++, R, Bash
    • Experience using a HPC
    • Familiar with programming best practices (e.g., revision control, testing, etc.)
    • Ability to consistently meet deadlines


    Applicants should send their resume and cover letter enclosed within a single document to be considered. Please apply here:[...]list/

    Two positions (Postdoctoral Fellow / Research Associate) are available in the areas of Bioinformatics and Metabolomics

    PhD or MSc degree in bioinformatics, computing science, data science, or analytical chemistry with bioinformatics training. At least one of the following criteria must be met:
    • Strong experience in using R for statistics and machine learning
    • Strong experience in web-based technologies, databases and data visualization
    • Familiarity with MS-based metabolomics
    Montreal, Quebec, Canada

    Starting salary: $47,500 CAN per year, for two years. Renewable for two more years based on performance.

    To apply, submit research statement (1-2 pages, demonstrating fit with the position) and curriculum vitae (max 5 pages, outlining research excellence & capacity in bioinformatics) to Dr. Xia (jeff.xia[at]

    Applications will be reviewed immediately until the positions are filled, but no later than Oct. 1, 2017.
    Events: Global Pharma R&D Informatics Congress
    Submitted by Laura Berry; posted on Tuesday, June 20, 2017

    Nov. 30 - Dec. 1, 2017
    Lisbon, Portugal

    This conference will cover methods and technologies for data management, storage, analysis, and representation. Attendees will hear from pharmaceutical companies about how they are using informatics tools and technologies to speed up their drug discovery and development processes.

    Topics include:
    • Complex data analytics and method development
    • System integration and workflow optimisation
    • AI and machine learning
    • Data storage and management
    To see the full list of topics and speakers, please visit our website.


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