Computational Biologist Postdoctoral Fellow (Quantitative Metabolic Modeling Group) - 94677 Organization: BE-Biological Systems & Eng
Berkeley Lab’s Biological Systems & Engineering Division (BSE) is looking for a Computational Biologist Postdoctoral Fellow to join their Quantitative Metabolic Modeling Group!
In this role, you will use Artificial Intelligence to design living cells for the production of renewable energy and bioproducts, and combat climate change. You will use Artificial Intelligence and Machine learning to make synthetic biology predictable, and enable a circular carbon economy.
As part of the Quantitative Metabolic Modeling Group (https://qmm.lbl.gov/), led by Héctor García Martín (http://hectorgarciamartin.com/), you will work collaboratively 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. As part of the Agile BioFoundry (https://agilebiofoundry.org/home/about/) at the Joint BioEnergy Institute (https://www.jbei.org/), you 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.
What You Will Do: • Integrate and analyze data. • Develop quantitative predictive models of cell metabolism. • Integrate transcriptomic, proteomic, and metabolomic data into quantitative models. • Use Monte Carlo approaches to more precisely measure and predict metabolic fluxes. • Use machine-learning and data-mining approaches to improve bioproduct yields. • Develop new machine-learning algorithms. • 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 microbial metabolism. • Partner with experimentalists to guide and propose new experiments and use available data to its full potential. • Explore and address problems that may affect the achievement of research objectives and deadlines. • Prepare research results for publication and for presentations at scientific and internal meetings.
What is Required: • PhD in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Theoretical Physics, Computer Science, Electrical Engineering, or a closely related discipline. • A successful record of publications as demonstrated through research experience. • Significant experience in Python or other major programming languages. • Strong analytical skills and mathematical background. • Effective organization skills including the ability to prioritize work and meet deadlines. • Strong oral and written communication skills including the ability to write standard research reports/publications and present findings. • Demonstrated interpersonal skills including the ability to perform collaborative research in an interdisciplinary team environment.
What We Prefer: • Knowledge of microbiology and bacterial metabolism. • Experience with metabolic flux analysis and experimental lab work.
For full consideration, please apply by February 9, 2022 with the following application materials: • Cover Letter - Describe your interest in this position and the relevance of your background. • Curriculum Vitae (CV) or Resume.
Notes: • This is a full time, exempt from overtime pay (monthly paid), 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. • This position is represented by a union for collective bargaining purposes with predetermined postdoctoral step rates dependent on years of experience post-degree. • 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 performed onsite at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply Apply directly online at http://50.73.55.13/counter.php?id=219261 and follow the on-line instructions to complete the application process.
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