Computational Biologist Research Scientist (Career Track)

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Research/Science
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BE-Biological Systems & Eng
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85711 Requisition #
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Berkeley Lab’s Biological Systems and Engineering Division has an opening for a Computational Biological Research Scientist.  The candidate will leverage machine learning, synthetic biology and automation to make bioengineering a predictable endeavor, for the production of commercially viable bioproducts and other purposes. This position will be part of the Quantitative Modeling Group. Under general supervision of the principal investigator, the candidate will work as part of a collaborative team to integrate phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict the outcome of bioengineering approaches, as well as develop and apply automation solutions to gather these data. The candidate will be working closely with bench scientists, automation engineers and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design, as part of the Joint BioEnergy Institute, the Agile BioFoundry, or other programs.


What You Will Do:

  • Develop quantitative predictive models of cell metabolism.

  • Integrate transcriptomic, proteomic and metabolomic data into quantitative models.

  • Use machine-learning approaches to predict bioengineering outcomes.

  • Develop and validate kinetic models for microbial metabolism.

  • Develop and optimize code and algorithms for predictive models.

  • Interact continuously with bench scientists to guide and propose new experiments and use available data to its full potential.

  • Prepare research results for publication and for presentations at scientific and internal meetings.

  • Develop automated experiments in collaboration with automation engineers to gather data for predictive models.

  • Perform advanced molecular biology protocols (e.g. construct design, gene knockout, cloning and expression) in order to test methods to be automated.

  • Conduct projects independently, maintain appropriate records and manage data.

  • Provide oversight and direction for a team of students, post-doctoral fellows and research associates.

  • Participate in group meetings, steering committee meetings, project retreats and seminars.

  • Assist in preparation of grant proposals.

What is Required:

  • PhD in systems biology, bioengineering, computational biology, bioinformatics, applied mathematics, theoretical physics, computer science, electrical engineering or closely related discipline.; or equivalent experience.

  • Significant experience in python or other major programming language.

  • Strong mathematical background and analytical skills.

  • Experience in Machine Learning.

  • Strong interest in microbiology and bacterial metabolism.

  • Strong written communication skills.

  • A commitment to and demonstrated ability to perform collaborative research in an interdisciplinary team environment.

  • Experience in lab automation (e.g. liquid handlers).

  • Experience in experimental metabolic engineering bench work (e.g. construct design, gene knockout, cloning, and expression).


Additional Desired Qualifications:

  • Experience in Deep Learning techniques

  • Knowledge of microbiology and bacterial metabolism.

  • Experience in metabolic flux analysis.

  • Knowledge of control theory.


The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on November 2, 2018.


Notes:

  • This is a full time, 1 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.

  • Full-time, M-F, exempt (monthly paid) from overtime pay.

  • Salary is commensurate with experience.

  • 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.

  • Work will be primarily performed at Joint BioEnergy Institute (JBEI) — Bldg. 978, 5885 Hollis St., 4th floor, Emeryville, CA.


Berkeley Lab (LBNL) 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.


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 to view the poster and supplement: "Equal Employment Opportunity is the Law."


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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 to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to accommodation@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.