AI Cell Physiology Modeling Postdoctoral Fellow
About The Position
Berkeley Lab’s (LBNL) Biological Systems and Engineering (BSE) Division has an opening for a Postdoctoral Fellow to join the Cellular Intelligence and BioAnalytics (CIBA) Group within the Advanced Bio Process Development Unit (ABPDU). In this exciting role, you will develop AI-driven predictive metabolic models of cell physiology, metabolism, and functional behavior. You will have the opportunity to receive hands-on training in mammalian cell culture, micro-respirometry, stable isotope tracing, and associated biochemical assays. This training will provide a deep first-principles understanding of the biological systems being modeled. You will develop the practical skills needed to maintain cell lines and conduct targeted experiments. You will have the opportunity to collaborate with experimentalists while developing and applying AI-driven models of cellular physiology. You will integrate and analyze datasets generated to advance predictive models of cellular metabolism and function. Important Note: Training for this position will start at the University of California, Los Angeles (UCLA) for 3-4 months, followed by relocation to Berkeley Lab for the remainder of the appointment. Alternatively, immediate relocation upon hire to Berkeley Lab may be possible, followed by periodic 4-5 day visits to UCLA throughout the appointment for training and/or collaboration, depending on project needs. This position has an anticipated start date of October 1, 2026. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Requirements
- A recent Ph.D. (within the last 1-2 years) in Computer Science, Chemical Engineering, Systems Biology, Bioengineering, Computational Biology, or a related discipline.
- Strong computational and machine learning skills, including research experience applying AI/ML models using complex experimental biology datasets.
- Demonstrated understanding of Cell Biology, through academic coursework, research experience, or wet-lab experience in Life-Sciences or related disciplines.
- Strong willingness and ability to participate in hands-on training onsite at UCLA to acquire wet-lab experimental skills, including cell culture, micro-respirometry, and biochemical assays.
- Strong analytical skills including the ability to identify problems, troubleshoot, and demonstrate good judgement in selecting methods and techniques for obtaining solutions.
- Excellent oral and written communication skills, including experience documenting research activities, analyzing results, and presenting findings for a variety of audiences.
- Demonstrated interpersonal skills, including experience collaborating with an interdisciplinary research team in a multi-disciplinary scientific or production environment.
Responsibilities
- Develop research expertise by contributing to project goals, engaging constructively with collaborators, generating scientific insights, and progressively taking ownership of defined research activities under appropriate scientific mentorship.
- Develop, implement, train, and validate machine learning and deep learning models for AI-driven prediction of cell physiology, metabolism, and functional behavior, with input from the research team.
- Participate in hands-on research training at UCLA, including mammalian cell culture, micro-respirometry, stable isotope tracing, and associated biochemical assays, to develop a strong practical understanding of relevant cell biology experiments.
- Conduct targeted experiments and closely collaborate with experimentalists at UCLA to integrate experimental datasets generated at UCLA and LBNL into AI-driven predictive models.
- Prepare and publish rigorous research results in peer-reviewed scientific journals.
- Maintain well organized, thorough, and accurate laboratory documentation.
- Provide regular written and oral progress updates and facilitate technical discussions within the team.
- Prepare and present research findings at conferences and meetings with collaborators across industry, academia, and national laboratories.
Benefits
- Exceptional health benefits.
- Generous paid time off, sick time off, and holidays.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
