AI Cell Physiology Modeling Postdoctoral Fellow

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.

What is Required: 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.

Additional Information: Application Date: Priority consideration will be given to candidates who apply with a curriculum vitae (CV) or resume and a cover letter describing their interest in this position by September 15, 2026 .

Applications will be accepted until the job posting is removed.

Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Postdoctoral Fellow 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.