Computational Project Scientist
Computational Project Scientist - 91074
Organization: BE-Biological Systems & Eng
Berkeley Lab’s Biological Systems and Engineering Division (https://biosciences.lbl.gov/divisions/bse/) has an opening for a Project Scientist to join the Quantitative Modeling Group (https://sites.google.com/lbl.gov/qmm).
The Project Scientist will combine machine learning, synthetic biology and automation to make bioengineering a predictable endeavor, for the production of commercially viable bioproducts (https://www.nature.com/articles/npjsba20169) and other purposes. The successful 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 Project Scientist 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 (https://www.jbei.org/), the Agile BioFoundry (https://agilebiofoundry.org/about/), or other programs.
What You Will Do:
• Develop quantitative predictive models of biological systems.
• 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.
• Parallelize algorithms and leverage high-performance computing to attain new predictive capabilities.
• 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.
• 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 the preparation of grant proposals.
What is Required:
• 5 years of relevant experience beyond the highest customary degree in systems biology, bioengineering, computational biology, bioinformatics, applied mathematics, theoretical physics, computer science, electrical engineering or closely related discipline.
• Significant experience in python or other major programming languages.
• 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.
• Knowledge of microbiology and bacterial metabolism.
Additional Desired Qualifications:
• PhD in systems biology, bioengineering, computational biology, bioinformatics, applied mathematics, theoretical physics, computer science, electrical engineering or closely related discipline and or equivalent experience.
• Experience in metabolic flux analysis.
• Experience in experimental metabolic engineering bench work (e.g. construct design, gene knockout, cloning and expression).
• Experience in lab automation (e.g. liquid handlers).
• Experience in Deep Learning.
The posting shall remain open until the position is filled.
• This is a full time 2-year term appointment that may be renewed to a maximum of five years.
• M-F, exempt (monthly paid) from overtime pay.
• 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.
How To Apply
Apply directly online at http://22.214.171.124/counter.php?id=186360 and follow the on-line instructions to complete the application process.
Learn about us!
Biological Systems and Engineering Division
Vision: To lead efforts that combine the power of biology with the tools of engineering to develop sustainable energy and biomanufacturing solutions and improve human health.
Mission: Advance a mechanistic and predictive understanding of complex biological systems over multiple scales in terms of their responses to manipulation, stress, disease and environmental challenges and translate this knowledge using engineering principles to develop resilient systems, tools, and processes for the efficient production of fuels, chemicals, materials, tissues, and therapeutics.
Berkeley Lab (LBNL, http://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.
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 (https://hr.lbl.gov/).
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 (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html). Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster: "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.