Postdoctoral Scholar

Position overview

Salary range: Postdoctoral Series - All Levels. A reasonable estimate for this position is $69,073-$82,836. Postdoctoral Scholar - Represented Fiscal Year.

Open date: September 24, 2025

Most recent review date: Tuesday, Nov 25, 2025 at 11:59pm (Pacific Time). Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Sep 24, 2026 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.

A postdoctoral position is available at the University of California, Irvine in the laboratory of Dr. Mehboob Hussain.

The successful candidate will explore regulation of metabolism in multiple tissues using in vivo mouse models as well as human (stem) cell systems and tissues to examine metabolism regulation and disease pathogenesis and amply bioinformatic tools to identify and experimentally test novel inter‑tissue signaling pathways that regulate metabolic homeostasis and/or cause disease.

Our lab employs cutting‑edge approaches and state‑of‑the‑art technologies.

UC Irvine is a world‑class research university with highly ranked graduate programs in biomedical sciences. Our Southern California location is home to one of the largest academic research and biotechnology hubs in the US. Lab members enjoy direct access to this outstanding community of clinicians and scientists, as well as the wide range of recreational activities available in our region. Successful candidates will join an interdisciplinary and highly collaborative team working to develop the next generation of tools and technologies to advance precision diagnostics and therapeutics.

• Applicant can have their PhD at the time of the application or could be working towards the PhD or MD/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a related field.
• Extensive experience in a research environment and at least 1 first‑author publication in a reputable scientific journal. The candidate is expected to have a record of academic accomplishments, including contributions to published or in‑press research in the field.
• The candidate should have past expertise in working with a colony of genetically modified mouse models (incl. genotyping) and be proficient in working with cell culture systems, and general laboratory biochemical and molecular biological techniques (including but not limited to: ELISA, Immunohistochemistry and confocal microscopy, immunoblotting, RNA extractions, RT‑qPCR). The candidate is expected to be familiar with standard software (MS Office Suite, Adobe Suite, Statistical and Graph Software packages i.e. Graphpad Prism).
• Ability to work independently to drive projects forward.
• Ability to communicate effectively and collaborate as part of a multidisciplinary team.
• Ability to compose and deliver comprehensive presentations at scientific meetings and prepare research articles for peer‑reviewed publications.

• Experience in In vivo metabolic characterization of mouse models.
• Experience in isolation and culture of metabolic relevant tissues (ie isolated islets, isolated liver cells, adipose tissue), small rodent surgeries (e.g. miniosmotic pump implantation into mice).
• Experience in stem cell differentiation protocols in to metabolic relevant cell‑types.
• Experience in next generation molecular biological tools e.g. next generation sequencing, Chip‑Seq, Cut&Tag, preparation of libraries for sequencing and downstream bioinformatic analysis of data sets.

• Experience in In vivo metabolic characterization of mouse models.
• Experience in isolation and culture of metabolic relevant tissues (ie isolated islets, isolated liver cells, adipose tissue), small rodent surgeries (e.g. miniosmotic pump implantation into mice).
• Experience in next generation molecular biological tools e.g. next generation…