Computational Research Scientist in AI-Driven Biomanufacturing

Berkeley Lab’s Biological Systems and Engineering Division seeks a Computational Research Scientist to join the Quantitative Modeling Group led by Héctor García Martín. The successful candidate will integrate artificial intelligence, robotics, and synthetic biology to make biology predictable and advance biomanufacturing. Responsibilities include developing quantitative predictive models of cell metabolism, integrating multi-omics data, designing AI agents for scientific data analysis, and collaborating with experimentalists to guide research directions. The role requires a PhD in Systems Biology, Bioengineering, Computational Biology, or a related field, with at least 3 years of relevant experience applying AI to biological experiments. Strong programming skills (Python) and experience with deep learning, lab automation, and synthetic biology are essential. The position is a full-time, 2-year term appointment with potential renewal up to 5 years and possible conversion to career...