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University of Southern California

Just Landed

Research Associate - Computational Immunology University of Southern California in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Annual base salary range: $71,000 - $89,000.

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Country

United States

University

University of Southern California

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Keywords

Computer Science
Biomedical Engineering
Biology
Medical Science
Software Development
High Performance Computing
Omics
Statistics
Statistical Modelling
Bioinformatic

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About this position

This Research Associate role at the University of Southern California sits within the USC Mann School of Pharmacy and Pharmaceutical Sciences, in the Titus Department of Clinical Pharmacy. The position is centered on computational immunology and immunogenomic analysis, with an emphasis on building advanced methods for immune-focused genomic and multi-omics data.

The successful candidate will develop and maintain scalable analysis pipelines and robust software tools for diverse datasets including RNA-seq, TCR/BCR repertoire sequencing, single-cell multi-omics, proteomics, and epigenomics. The work combines method development, large-scale data integration, and biologically interpretable analysis of complex immune datasets.

In this role, the researcher will contribute to repertoire inference, clonotype tracking, antigen-receptor diversity metrics, cell-state modeling, and immune microenvironment profiling. They will also support analyses across modalities such as bulk and single-cell RNA-seq, scATAC-seq, proteomics, and metabolomics, as well as develop analysis-ready databases and metadata frameworks.

The position is strongly collaborative, linking computational work with wet-lab and clinical teams to turn results into actionable hypotheses, figures, reports, manuscripts, conference abstracts, and grant proposals. The role also includes technical guidance and training for lab members, and work in high-performance and/or cloud computing environments.

Overall, this is a research computing role embedded in a multidisciplinary biomedical environment at USC, with a focus on translating immune-genomic data into publishable and reusable computational resources.

Funding details

Annual base salary range: $71,000 - $89,000.

What's required

Minimum qualification is either an M.S. degree in Computational Biology, Bioinformatics, Genomics, Computer Science, Biostatistics, or a related discipline plus three years of relevant experience in computational genomics/immunogenomics analyses and tool development, or a Ph.D. in Computational Genomics, Computational Immunology, Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a closely related field. Required expertise includes experience developing genomic analysis tools and pipelines, analyzing large-scale omics datasets, strong Python and/or R programming skills, strong statistical grounding in high-dimensional biology, experience in HPC/Linux environments with containerization and job schedulers, and ability to produce clear documentation and publishable-quality analyses and visualizations. Preferred experience includes TCR/BCR repertoire analysis, clonotype inference, single-cell immune profiling, multi-omic integration, analysis databases and metadata schemas, FAIR principles, and open-source or methods-paper contributions. Minimum education listed is a Ph.D. or equivalent doctorate, minimum experience is 1 year, and directly related education and experience in research specialization is required.

How to apply

Apply through the USC Workday posting using the application link provided. If you are a current USC employee, use the internal USC Workday link referenced in the posting. Contact USC HR for application help if needed.

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