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    Uniquely positioned to enhance quality of life in aging, we are pioneering science that is rapidly being translated to the clinic. Our approaches utilize in vivo, proteomics, and molecular techniques to identify therapeutics and apply them to patients. We are seeking a highly motivated and driven scientist who will serve as the key biostatistics leader for Alkahest research. The role will be to lead, advise and assist in the statistical, data analysis, and informatics aspects of the setup, evaluation, and interpretation of large scale proteomics/biomarker and other biological studies. The studies will involve cutting edge science and require innovative concepts and strategies. They will be enabled by unique, high quality and technologically advanced datasets, allowing findings to push at the forefront of the field. The interpretation of such data is critical in advancing our therapeutic understandings and is pivotal to the company's mission. The role requires dedication to drive science, flexibility, excellent communication and organization. The position will require interaction with a team of scientists and research associates to drive multiple projects in parallel. We offer a competitive compensation package.


    • Serve as the key biostatistics leader for Alkahest research
    • Innovate to make fundamental discoveries through statistical analysis and data mining
    • Perform the statistical design of large biomarker and other proteomics research studies, including power analysis for replication estimation
    • Develop optimal workflows, scripts and software tools, and apply them to analyze large scale proteomics and other omics datasets
    • Develop and apply data analysis tools specifically for mass spectrometry-generated proteomic data
    • Assist in interpretation of analyzed data including pathway analysis, development of novel analysis methodology and visualizations
    • Apply computational tools to mine both public and proprietary databases
    • Ensure completeness, correctness and integrity of analyses and datasets
    • Engage externally to apply cutting edge processes and ensure recognition in the scientific community including publications


    • Ph.D. in Statistics, Biostatistics, or related field
    • Significant experience (4+ years) working with multiple types of large scale omics data
    • Solid knowledge of bioinformatics principles, tools, and databases
    • Programming/scripting skills in languages such as Python, Perl, or R
    • Strong team spirit but also ability to work independently
    • Creativity, ability to think outside-of-the-box
    • Attention to detail, good communication skills
    • Experience with mass spectrometry data analysis is a plus


    Send CV and Cover Letter to jobs[at]


    Apply Here:[...]=MISC


    The European Molecular Biology Laboratory (EMBL) is one of the highest ranked scientific research organisations in the world. The Headquarters Laboratory is located in Heidelberg (Germany), with additional sites in Grenoble (France), Hamburg (Germany), Hinxton (UK) and Monterotondo (Italy).


    EMBL's Genomics Core Facility (GeneCore) is looking for a Senior Bioinformatician to lead its Bioinformatics section. The successful candidate will assist and monitor the production, as well as lead the analysis, management and integration of massively parallel sequencing data generated from a range of sequencing instruments and methodologies (Illumina, Pacific Biosciences, 10x Genomics, Oxford Nanopore, single cell/single DNA strand sequencing [Strand-seq]) and library preparation protocols (DNA-Seq, RNA-Seq, ChIP-seq, Repli-Seq, HiC, and ATAC-Seq). The main task will be the design, implementation and maintenance of complete computational workflows and pipelines required for efficient and timely delivery of large-scale sequencing data including their comprehensive informatics processing and biological analysis.

    Developing data analysis strategies for re-sequencing data sets relevant to genomic variation analyses using state-of-the-art concepts from computational biology, algorithmic bioinformatics and biostatistics is expected, and prior experience in one of these areas is thus of particular interest. Familiarity with high-performance computing environments, job scheduling, load balancing and parallel computing is considered as a valuable asset, as is the ability to develop multi-threaded applications that take advantage of modern computing systems. In addition, EMBL's Genomics Core Facility is embedded in an excellent ecosystem of outstanding computational and experimental research groups at EMBL, each of which seeks to extend their bioinformatics capabilities and infrastructure and the successful candidate is expected to set-up and implement required algorithms and services to support these groups in the use of massively parallel sequencing data relevant to genomics.

    Among other tasks, the successful candidate will have responsibility for:
    • Developing computation workflows to monitor the production and perform analyses of DNA-Seq, RNA-Seq, ChIP-Seq and ATAC-Seq data sets
    • Implement core pipelines for basecalling, de-multiplexing, data quality control, sequence alignment, variant calling, quantifying gene expression and peak calling
    • Design and implement the above applications as software packages that are maintained and disseminated to the research community using widely used code repositories (GitHub, SourceForge, BitBucket), package managers (Bioconda, EasyBuild) and/or Docker application containers
    • Analyse massively-parallel sequencing data sets (including applications in the context of genetic variation and genome regulation research) to support other EMBL researchers
    • Design web services for common molecular biology tasks and maintain the Genomics Core Facility pipeline management dashboard
    • Teach and co-organize scientific courses to educate junior researches at EMBL and elsewhere in crucial applications of massively parallel sequencing data relevant to genomics


    Qualifications and Experience:
    Essential qualifications include:
    • A PhD in computational biology or a related field with a strong focus on methods development and algorithmic bioinformatics
    • Advanced programming skills, ideally including R, Python, Unix/Bash, C or C++ and practical experience with HTSlib
    • Strong interest and experience in biological data analysis and scientific software development
    • Experience in setting up bioinformatics services and computational workflows for large-scale DNA and RNA sequencing data sets using software pipelines in an HPC or cloud environment
    • Experience in software development, maintenance and user support
    • The desire to support and assist biological researchers in their bioinformatics analysis
    • The ability to integrate tools into pipelines and workflows and optimize their interoperability, efficiency, usability and portability
    • Knowledge of web software development (HTML, css, JavaScript) and web server administration
    The successful applicant needs to have strong problem-solving skills, a profound background in scientific software development and analysis workflow management. She/he will be well organized, open-minded, able to work on different projects in parallel, and have a user-orientated spirit. Ability to generate synergies in genomics technology evaluation, supporting EMBL research groups by contributing to development of computational methods for analysis of genomics data will be seen as highly positive. The candidate should be able to work independently and also interact well, and provide supervisory roles to other bioinformaticians within the EMBL Genomics Core facility team environment. A working knowledge of English is required.


    Please apply online through

    Additional Information:
    Interviews are planned to take place at the beginning of June 2017

    Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.


    EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.


    • Analyze next-generation sequencing data
    • Collaborate with research scientists to develop and implement cutting-edge data analysis pipelines for sequencing applications, such as RNA-seq, methyl-seq, SHAPE-seq and DNA-seq
    • Create and maintain necessary data analysis-related documentation
    • Plan, coordinate, and carry out activities in collaboration with research projects
    • Participate in the various educational activities offered by the University at Albany


    Minimum Qualifications:
    • Bachelor's degree in Bioinformatics, Biology, Computational/Systems Biology, Computer Science, or a related field and two or more years of professional experience in Bioinformatics OR Master's degree in Bioinformatics, Biology, Computational/Systems Biology, Computer Science, or a related field and one or more years of professional experience in Bioinformatics
    Preferred Qualifications:
    • Master's degree in Bioinformatics or Computational/Systems Biology
    • Two or more years of relevant experience in applications of next-generation sequencing, genome assembly, genome annotation, variant analysis, and phylogenetics
    • Proficiency in scripting languages (such as Python, Perl, etc) and R. Knowledge of command line Linux
    • Knowledge of general approaches to sample preparation for sequencing and applications of different sequencing strategies


    Located in Albany, New York, New York State's capital, the University is convenient to Boston, New York City and the Adirondacks


    Full-time position


    For more information and to apply please refer to:[...]00108


    Closing date for applications is June 1, 2017


    The University at Albany is an EO/AA/IRCA/ADA employer.


    Repositive, the company that created the world's largest portal for accessing human genomic research data, has closed a Series A funding round of £2.5m.

    This investment will allow Repositive to expand its commercial offering through the development of premium features for it's fast growing community of platform users worldwide. Alongside this, Repositive will invest further in expanding the range of data sources on its platform and developing further commercial products and services for the genomics R&D industry. Repositive welcomes Ananda as lead investor and sees the continued support of Amadeus Capital Partners and Jonathan Milner.

    Read the Press Release:[...]lion/

    How will investments grow community?[...]nity/

    Browse Repositive's 1.1 million human genomic datasets:
    Events: CfP: RECOMB Comparative Genomics 2017
    Submitted by Joao Meidanis; posted on Monday, April 24, 2017

    October 4-6, 2017
    Centre for Genomic Regulation (CRG), Barcelona, Spain[...]kshop


    The annual RECOMB Comparative Genomics Satellite Conference (RECOMB-CG) brings together leading researchers in the mathematical, computational and life sciences to discuss cutting edge research in comparative genomics, with an emphasis on computational approaches and the analysis of novel experimental results. The program will include keynote talks, contributed talks, and a poster session.

    With this Call for Papers we invite high-quality original full papers on topics related to the conference theme. The conference will also have a poster session. A detailed call for posters will be published later on the conference web page.


    Papers are solicited on, but not limited to, the following topics: genome evolution; genome rearrangements; genome variation, diversity and dynamics; phylogenomics; comparative tools for genome assembly; population genomics; comparison of functional networks; comparative epigenomics; paleogenomics; cancer evolution genomics; epidemiology; gene identification and/or annotation.


    Paper Submission Deadline: June 11, 2017
    Author Notification: July 7, 2017
    Final Version Due: July 21, 2017
    Conference: October 4-6, 2017


    Contact: meidanis[at], nakhleh[at]


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