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University of California, Los Angeles

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Postdoctoral Position in Computational Immunology and Genomics at UCLA University of California, Los Angeles in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral scholar position. Salary range is listed as $71,491-$85,736 (reasonable estimate).

Deadline

Dec 30, 2026

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Country

United States

University

University of California, Los Angeles

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Keywords

Computer Science
Biomedical Engineering
Biostatistics
Biology
Infectious Disease
Medical Science
Immunization
Genetic
Genomic
Statistics
Bioinformatic
Transcriptomic
ML

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About this position

Postdoctoral Position in Computational Immunology and Genomics at the David Geffen School of Medicine, University of California, Los Angeles (UCLA).

The Division of Infectious Diseases is recruiting a full-time postdoctoral scholar to work in computational immunology, genomics, infectious disease, vaccine immunity, systems serology, PhIP-Seq, single-cell RNA-seq, transcriptomics, and human genetics. The project integrates whole-genome sequencing, transcriptomics, antibody and immunophenotyping data, and clinical datasets to study human immune responses and clinically relevant phenotypes.

The successful candidate will develop and apply computational, statistical, and machine-learning approaches; analyze WGS and next-generation sequencing data; work with single-cell and multi-omics datasets; and contribute to manuscripts, grant applications, and first-author publications. The role also includes collaboration with experimental immunologists, clinicians, and computational researchers.

Eligibility highlights: a Ph.D. or equivalent doctoral degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field; strong Python and/or R programming; experience with high-dimensional biomedical data, Linux/Unix, statistics, reproducible workflows, and scientific writing. Preferred experience includes Seurat/Scanpy, machine learning, variant analysis, multi-omics integration, HLA/immunogenomics, workflow tools such as Nextflow or Snakemake, Git, and HPC/cloud computing.

Funding: full-time postdoctoral scholar appointment with a salary estimate of $71,491-$85,736.

Application: submit a CV, cover letter, statement of research, and three professional references through UCLA Recruit. The final application deadline is 2026-12-30, with next review date on 2026-10-16 for full consideration.

Location: Los Angeles, California, United States.

Funding details

Full-time postdoctoral scholar position. Salary range is listed as $71,491-$85,736 (reasonable estimate).

What's required

A Ph.D. or equivalent doctoral degree in Bioinformatics, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field is required. Strong programming experience in Python and/or R, experience analyzing high-dimensional biological or biomedical datasets, next-generation sequencing and computational genomics/transcriptomics or related omics data, strong statistics foundation including multivariate analysis and model validation, Linux/Unix experience, ability to independently develop and maintain reproducible computational analyses, clear communication with diverse collaborators, and strong scientific writing skills are required. Preferred experience includes whole-genome sequencing, variant calling, rare-variant analysis, genetic association, single-cell RNA-seq, machine learning, multi-omics integration, high-dimensional immunology datasets, workflow tools, Git, HPC/cloud computing, HLA/immunogenomics, antibody profiling, systems serology, PhIP-Seq, B-cell biology, infectious disease, or vaccine immunology.

How to apply

Apply through the UCLA Recruit portal using the posted application link. Submit a CV, cover letter, statement of research, and contact information for three professional references. Apply by the next review date for full consideration.

More information can be found here

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