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    Opportunity: Computational Research Scientist (#92220) @ Lawrence Berkeley National Laboratory -- Berkeley, CA (US)
    Submitted by Bill Cannan; posted on Tuesday, March 23, 2021

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Joint Genome Institute (JGI, jgi.doe.gov) Division has an opening for a Microbial Genome Research Scientist to join the Microbial Genome Program and Single Cells Group.

    RESPONSIBILITIES

    The Research Scientist will contribute to programmatic initiatives in the areas of bacterial and archaeal genomics with emphasis on single cell sequence data. The successful candidate will be expected to develop new scientific directions and lead cutting-edge research efforts in support of JGI's Strategic Plan and Department of Energy (DOE) mission areas in biogeochemistry, carbon cycling, and bioenergy. The Research Scientist will also be expected to support a broad portfolio of JGI User Science within the microbial genomics portfolio and support an array of administrative production-related activities under the general supervision of the Microbial Genome Program Head.

    What You Will Do:
    • Develop new scientific directions in line with JGI's Strategic Plan and lead cutting-edge research efforts in the areas of microbial genomics and ecology, phylogenetic diversity, function-driven single-cell genomics and inter-organismal interactions.
    • Independently troubleshoot and problem-solve JGI User microbial genomics projects to facilitate high quality analysis results and insightful biological interpretation.
    • Design, benchmark, and apply bioinformatics software to enable analysis and interpretation of genomic data for JGI's user community in line with the Program's strategic objectives and goals.
    • Support ongoing JGI User Science, Community Science Program (CSP), and Facilities Integrating Collaborations for User Science (FICUS) projects through requests for custom analyses in line with the Program's strategic objectives and goals, as well as initiate new projects in collaboration with the User community.
    • Work in a high-performance computing environment and interact with a team of computer scientists, software developers and postdoctoral researchers to develop new methods and tools for large-scale microbiome data analysis.
    • Support research & development activities in collaboration with JGI's project management office, production teams, and Genomes Online Database (GOLD) and Integrated Microbial Genomes (IMG) teams to ensure data handling and bioinformatics workflows for microbial genome data meet high quality standards and remain state-of-the-art.
    • Work collaboratively with JGI's QA/QC and genome assembly teams to ensure workflows of microbial genome products remain state-of-the-art and methods descriptors up to date.

    REQUIREMENTS

    What is Required:
    • A minimum of 3 years of relevant experience beyond the highest degree in bioinformatics, computational biology, microbiology, molecular biology, biochemistry or a related field
    • Demonstrated extensive expertise and track record in microbial genomics and ecology.
    • Proven capacity to do innovative and applied work in highly complex and broad-reaching scientific areas.
    • Experience establishing effective collaborations and interacting with members of diverse scientific and informatics communities.
    • Experience and skill in preparing research publications.
    • Deep knowledge in microbial metabolism and sequence-based metabolic reconstruction.
    • Understanding of standard sequencing analysis methods (assembly, gene calling, functional annotation) and phylogenetic analysis methods (multiple sequence alignment, tree building).
    • Extensive knowledge and experience with complex bioinformatics methods and tools, with significant research accomplishments, including a proven publication record.
    • Strong and effective communication and interpersonal skills with internal and external staff, users and collaborators.
    • Proven ability to work on multiple projects with varying priorities while meeting tight deadlines.
    • Strong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to complex problems.
    Desired Qualifications:
    • Ph.D in bioinformatics, computational biology, microbiology, molecular biology, biochemistry or a related discipline with a minimum of 3 years postdoctoral work experience.
    • Able to program in Python, Perl, Java, and read/decipher C/C++.
    • Experience in customer-service oriented work environments.

    TERMS

    • This is a full time, 2 year career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
    • 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.

    Organization: JG-Joint Genome Institute

    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).

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]95363 and follow the on-line instructions to complete the application process.

    ABOUT US

    Learn About Us:
    JGI & Berkeley Lab: A View to Fuel Innovative Science in the Public Interest
    They say it's all about location and Berkeley Lab has it all: a view above the San Francisco Bay, cool breezes, and world-class multidisciplinary science within a diverse and respectful research ecosystem of 5,000 people. Nearly 90 years ago, Ernest Orlando Lawrence, the inventor of the cyclotron, brought physicists, biologists, engineers and mathematicians together in Berkeley above the University of California campus to tackle the most urgent scientific challenges. Today, after garnering 13 Nobel Prizes, Berkeley Lab has sustained and grown that tradition of open, interdisciplinary team science, exemplified by how the U.S. Department of Energy Joint Genome Institute (JGI) addresses the most pressing energy and environmental challenges using integrative genome science approaches. JGI takes up residence in the new, state-of-the-art Integrative Genomics Building (IGB) along with the U.S. Department of Energy Systems Biology Knowledgebase (KBase) to expand the frontiers of energy and environmental science in partnership with the worldwide community of researchers. Will you join us and be a critical part of our next ground-breaking discoveries?

    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.

    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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