Postdoctoral Fellow (Quantitative Modeling Group) - 96313 Division: BE-Biological Systems & Eng
Berkeley Lab’s Biological Systems & Engineering Division (BSE) is looking for a Postdoctoral Fellow to join their Quantitative Modeling Group (https://qmm.lbl.gov/) led by Héctor García Martín (http://hectorgarciamartin.com/)!
In this exciting role, you will develop machine learning algorithms (https://www.nature.com/articles/s41467-020-18008-4), data science pipelines, and automated workflows to design cells (https://www.nature.com/articles/s41467-020-17910-1) to produce renewable products (https://www.nature.com/articles/npjsba20169) and combat climate change (https://drive.google.com/file/d/1QFP_xBptv5G92pNivOVdNhdd9iSm_kNu/view). You will help design cells to a specification(https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00540) and bring synthetic biology (https://vimeo.com/265198586) to its full potential.
You will have the opportunity to 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. 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, as part of the Agile BioFoundry https://agilebiofoundry.org/home/about/) and the Joint BioEnergy Institute (https://www.jbei.org/.
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 microbial metabolism. • 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. • 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.
What is Required: • Ph.D. in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Physics, Computer Science, or a closely related discipline. • Experience with Python (or other major programming languages) and Linux including file systems, shell, hardware/software monitoring, etc. • Strong mathematical background and analytical skills. • Effective organizational skills including the ability to prioritize work to meet deadlines and contribute to the planning of a program of scientific research. • Demonstrated interpersonal skills including the ability to work independently and perform collaborative research in an interdisciplinary team environment. • Excellent oral and written communication skills including a successful record of publications.
What We Prefer: • Knowledge of microbiology, bacterial metabolism, and microbial metabolism. • Experience in metabolic flux analysis. • Experience with experimental lab work.
For full consideration, please apply by July 31, 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 the Emery Station Operations Center — 5885 Hollis Street Emeryville, CA.
How To Apply Apply directly online at http://50.73.55.13/counter.php?id=233665 and follow the on-line instructions to complete the application process.
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