Organisation Name: Lawrence Berkeley National Laboratory
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Job Description:
Berkeley Lab’s Biological Systems and Engineering Division has an opening for a Postdoc Employee to join the Quantitative Modeling Group. The Postdoc will develop machine learning algorithms tailored to the needs of synthetic biology, enabling the production of renewable bioproducts through predictive bioengineering. The Postdoc will work as part of a collaborative team to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. The Postdoc will work closely with an interdisciplinary team of 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 Agile BioFoundry or the Joint BioEnergy Institute. What You Will Do: Integrate and analyze data. Develop quantitative predictive models of cell metabolism. Use machine-learning and data-mining approaches to improve bioproduct yields. Integrate transcriptomic, proteomic and metabolomic data into quantitative models. Use Monte Carlo approaches to more precisely measure and predict metabolic fluxes. Develop and optimize code and algorithms for predictive models. Calculate metabolic flux distributions from carbon labeling data and flux balance analysis. Develop and validate kinetic models for bacterial and yeast metabolism. Interact continuously with experimentalists to guide and propose new experiments and use available data to its full potential. Deal with problems that may affect the achievement of research objectives and deadlines. Prepare research results for publication and for presentations at scientific and internal meetings. Additional Responsibilities as needed: Assist in the 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. Significant experience in python or other major programming languages. Strong mathematical background and analytical skills. Research experience demonstrated through successful publications. Strong interest in microbiology and bacterial metabolism. Proven experience in Linux including file systems, shell, hardware/software monitoring, etc. Effective interpersonal and communication skills (including written and presentational). The ability to work and think independently and to contribute to the planning of a program of scientific research. Effective organizational skills and the ability to prioritize work to meet deadlines. Evidence of an ability to write to a standard required for research reports/publications. A commitment to and demonstrated ability to perform collaborative research in an interdisciplinary team environment. Additional Desired Qualifications: Knowledge of microbiology and bacterial metabolism. Experience in metabolic flux analysis. Experience on experimental lab work. The posting shall remain open until the position is filled. Notes: This is a full time 2-year postdoctoral appointment 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. M-F, exempt (monthly paid) from overtime pay. 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. Work will be primarily performed at: Joint BioEnergy Institute (JBEI) — Bldg. 978, 5885 Hollis St., 4th floor, Emeryville, CA.
