The Majithia Lab at the University of California, San Diego, School of Medicine is recruiting NIH-funded postdoctoral fellows to advance research in the genetic and functional biology of insulin resistance and metabolic disease. The lab focuses on integrating genetic, genomic, and clinical investigations to identify and therapeutically target the molecular drivers of insulin resistance, aiming to prevent diabetes and its complications. There are two main postdoctoral tracks available: Functional Genomics Postdoc: This role involves CRISPR/perturbation screens (including single-cell approaches), work with adipocyte and hepatocyte models, and transcriptomics. The research aims to translate human genetic signals into mechanistic understanding and physiological insights. In Vivo Functional Genomics Postdoc: This position focuses on mouse models, metabolic phenotyping, in vivo perturbation and functional validation, and multi-omic data integration. Candidates will use barcoded, tissue-tropic AAV/CRISPR libraries to interrogate gene function in various tissues, with deep molecular and physiological readouts. Applicants should have a PhD (or MD/PhD) in Genetics, Molecular Biology, Systems Biology, Bioengineering, or a related field. Required skills include molecular cloning, mammalian cell culture, CRISPR screening, single-cell profiling, and expertise in metabolic cell biology. For in vivo roles, experience with mouse genetics, AAV injection, tissue phenotyping, and metabolic assays is essential. A strong publication record and excellent communication and teamwork skills are expected. Preferred qualifications include experience with stem cell culture, high-throughput screening techniques (CROP-seq, Perturb-seq), human genetics/GWAS, and data analysis in R/Python. The positions are fully funded by NIH grants, offering a competitive stipend and benefits. The lab provides a collaborative environment with opportunities to work closely with both experimental and computational scientists. Research topics include functional genomics, insulin resistance, CRISPR technologies, single-cell transcriptomics, adipocyte and hepatocyte biology, and multi-omics integration. To apply, candidates should send a CV and a brief statement of research interests to [email protected] or [email protected] . More information is available on the Majithia Lab website . Interested applicants are encouraged to review the job ad for further details before applying. Keywords: functional genomics, metabolic disease, insulin resistance, CRISPR, single-cell transcriptomics, adipocyte biology, hepatocyte models, mouse models, multi-omics, genetics.

The Majithia Lab at the University of California San Diego is seeking postdoctoral researchers for NIH-funded positions focused on the genetic and functional biology of insulin resistance and metabolic disease. The lab specializes in functional genomics, including CRISPR/perturbation screens (with single-cell applications), and utilizes adipocyte and hepatocyte models as well as transcriptomics to explore disease mechanisms. In vivo genomics approaches are also a key part of the research, involving mouse models, metabolic phenotyping, in vivo validation, and multi-omic data integration. This opportunity is ideal for candidates interested in translating human genetics into mechanistic understanding and physiological insights. The research environment is collaborative and cutting-edge, with access to advanced genomic technologies and resources. The lab's work aims to uncover new pathways and therapeutic targets for metabolic diseases such as diabetes and obesity. Applicants should have a PhD in genetics, molecular biology, biomedical sciences, or a related field. Experience with functional genomics, CRISPR, transcriptomics, or in vivo mouse models is highly desirable. The positions are fully funded through NIH grants, providing financial support for postdoctoral research. Interested candidates should send their CV and a statement of research interests to Dr. Amit Majithia at [email protected] or contact the lab via direct message. For more information about the lab's research, visit the provided LinkedIn links.