Postdoctoral Researcher – Metabolic Engineering & Synthetic Biology

University of California, Los Angeles; Los Angeles (CA); On-site; USD 52,000 - 68,000; Full time

Benefits offered by this job

Core facilities access

Collaborative environment

Job summary

UCLA Park Lab seeks a highly motivated Postdoctoral Scholar to lead cutting-edge research in metabolic engineering, immunometabolism, and integrative omics. The role focuses on engineering microbial hosts for sustainable biomanufacturing, and investigating metabolic dysregulation in human diseases through hypothesis-driven studies.

The candidate will drive construction of novel strains and pathways, elucidate regulatory mechanisms of health and disease, and integrate computational and

Qualifications

• PhD in a relevant field (biotechnology, systems biology, biochemistry, or a related discipline) required.
• Strong background in metabolic engineering, omics technologies, and data-driven experimental design.
• Experience with microbial hosts and biomanufacturing concepts preferred.

Responsibilities

• Lead and coordinate metabolic engineering projects in microbial hosts.
• Integrate computational and experimental approaches to understand health and disease mechanisms.
• Develop novel strains and pathways, and drive omics-data integration for insights.

Skills

Metabolic engineering

Immunometabolism

Integrative omics

Microbial systems

Education

PhD in relevant field

Tools

R

Python

Metabolomics software

Job 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: https://parklab.ucla.edu/