Postdoctoral Researcher - Metabolic Engineering & Synthetic Biology
$69.07k - $82.84kUniversity of California - Los Angeles (UCLA)
Position overview Salary range: The posted UC salary scales set the minimum pay determined by rank and step at appointment. The salary range for this position is $69,073-$82,836. Application Window Open date: August 1, 2026 Next review date: Saturday, Aug 15, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Jun 30, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Park lab at UCLA is seeking a highly motivated and creative Postdoctoral Scholar to lead cutting-edge research in metabolic engineering, immunometabolism, and integrative omics. The Park lab focuses on engineering microbial hosts for sustainable biomanufacturing, elucidating metabolic dysregulation in human diseases, and innovating metabolomics and fluxomics technologies. The successful candidate will drive the construction of novel strains/pathways, the elucidation of regulatory mechanisms behind health and disease through hypothesis-driven studies, and the integration of computational and experimental procedures. Lab: Qualifications Basic qualifications
- Ph.D. in Chemical Engineering, Bioengineering, Molecular Biology, Biochemistry, Microbiology, Immunology, or a closely related discipline (completed or near completion at time of application).
- Expertise in molecular biology techniques.
- Strong background in fermentation, culturing, and physiological characterization.
- Hands-on experience with analytical instrumentation (HPLC, LC-MS, GC-MS, or NMR).
- A strong track record of scientific productivity.
- Excellent written and verbal communication skills with the ability to work collaboratively in a team environment.
- Experience with Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA).
- Strong mathematical background in differential equations, linear algebra, and optimization.
- Background in thermodynamics and reaction kinetics.
- Background in engineering non-conventional host organisms [e.g., Yarrowia lipolytica].
- Experience with bioinformatics, transcriptomics (RNA-seq), or metabolomics data analysis pipelines.
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