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    Opportunity: Computational Biologist Postdoctoral Scholar (#91221) @ Lawrence Berkeley National Laboratory -- Berkeley, CA (US)
    Submitted by Bill Cannan; posted on Thursday, October 08, 2020

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Environmental Genomics & Systems Biology Division (biosciences.lbl.gov/divisions/egsb/) has an opening for a Computational Biologist Postdoctoral Scholar to join the team.

    RESPONSIBILITIES

    In this exciting role, you will be involved in on-going gene enhancer studies in the joint Mammalian Functional Genomics Laboratory of Axel Visel, Len Pennacchio, and Diane Dickel. You will perform computational analyses related to gene enhancer data and determine overall expression patterns. You will contribute to the design and execution of in vitro and mouse studies aimed at the identification and functional characterization of enhancers in the human genome.

    What You Will Do:
    • Perform computational analysis of complex datasets, including ChIP-seq, RNA-seq, ATAC-seq, single-cell transcriptomics/epigenomics, and other "omics" types of data.
    • In collaboration with technical staff and experimental postdocs, design and oversee the execution of experimental studies using functional genomics and mouse-based methods.
    • Provide regular progress report presentations at lab meetings and conferences.
    • Summarize results in reports and papers submitted for publication and present analysis results at national and international scientific meetings.
    • Interact with technical staff and other postdocs to develop and guide projects.
    • Contribute specialized skills to ongoing projects led by other investigators as appropriate.
    • Keep accurate and detailed documentation of all work performed.

    REQUIREMENTS

    What Is Required:
    • Ph.D. degree in computational biology, bioinformatics, genetics, genomics, molecular biology, or a related field. Alternatively, a Ph.D. in physics, computer science, or a related field and demonstrated experience with genomics data and analysis methods.
    • Demonstrated experience in using standard languages and tools of computational biology (e.g., R, Python).
    • Demonstrated skills in bioinformatics and computational genomics analysis.
    • Demonstrated capability to support the design, execution, and analysis of experimental studies.
    • Ability to organize and present reports to collaborators, management, and sponsors.
    • Ability to work independently and as a team member in a diverse team environment.
    • Ability to interact with workgroups and collaborators outside of the laboratory.
    • Experience and skill in preparing research publications with a proven record of publications demonstrating independent research.
    The posting shall remain open until the position is filled.

    TERMS

    • This is a full-time, 2 year, postdoctoral appointment exempt (monthly paid) from overtime pay with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
    • This position is represented by a union for collective bargaining purposes.
    • Salary will be predetermined based on postdoctoral step rates.
    • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

    LOCALE

    Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    COMPENSATION

    Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (hr.lbl.gov).

    ABOUT US

    Mammalian Functional Genomics LabEnvironmental Genomics and Systems Biology
    Mission: Linking genome biology to human disease, development, and evolution.ecosystem dynamics.
    Vision: Sustainable solutions to energy and environmental challenges developed through mechanistic understanding of ecosystem dynamics.
    Approach: We use cutting-edge genomics technologies and high-throughput mouse modeling to elucidate the roles of noncoding DNA in human disease and development. develop systems-level models using integrated molecular observation and controlled manipulation of model organisms and defined biomes to design and test interventions that promote beneficial outcomes.

    Berkeley Lab (LBNL, www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]87470 and follow the on-line instructions to complete the application process.

    Organization: JG-Joint Genome Institute

    POLICY

    Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/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, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (www.dol.gov/agen[...]sters) to view the poster and supplement: "Equal Employment Opportunity is the Law.

    Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.

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