Amit Majithia
1 week ago
Postdoctoral Fellowships in Functional Genomics and Metabolic Disease at University of California, San Diego (Majithia Lab) University of California, San Diego in United States
Degree Level
Postdoc
Field of study
Biomedical Engineering
Funding
The positions are NIH-funded postdoctoral fellowships, indicating full funding. Specific stipend amounts and tuition coverage are not mentioned, but NIH funding typically includes a competitive stipend and benefits.
Country
United States
University
University of California, San Diego

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About this position
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.
Funding details
The positions are NIH-funded postdoctoral fellowships, indicating full funding. Specific stipend amounts and tuition coverage are not mentioned, but NIH funding typically includes a competitive stipend and benefits.
What's required
Applicants must have a PhD (or MD/PhD) in Genetics, Molecular Biology, Systems Biology, Bioengineering, or a related field. Required skills include hands-on experience in molecular cloning, mammalian cell culture, CRISPR screening and/or single-cell profiling, and expertise in metabolic cell biology. A strong publication record and excellent communication and collaboration skills are essential. Preferred qualifications include familiarity with stem cell culture, experience with high-throughput screening techniques such as CROP-seq and Perturb-seq, knowledge of human genetics/GWAS, and proficiency in data analysis using R or Python. For in vivo positions, demonstrated proficiency with mouse handling, in vivo procedures, AAV-based gene delivery, metabolic phenotyping, and tissue-level assays is required. Additional preferred experience includes in vivo CRISPR screens, advanced imaging, and handling NGS datasets.
How to apply
Send your CV and a brief statement of research interests to [email protected] or [email protected]. Review the job ad for more details before applying. You may also contact via LinkedIn or the lab website.
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