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University of California, Los Angeles

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Postdoctoral Position in Infectious Diseases - Herman Lab 2026-2027 University of California, Los Angeles in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary range estimated at $71,491-$85,736; full-time postdoctoral scholar position.

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
Immunophenotyping
Statistics
Statistical Modelling
Bioinformatic
Transcriptomic
ML

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About this position

This postdoctoral position is based in the Division of Infectious Diseases in the Department of Medicine at the David Geffen School of Medicine at UCLA. The project sits within a research program in computational immunology and genomics that connects human immune responses, host genetics, infectious disease, and vaccine immunity.

The successful candidate will join a collaborative environment that brings together experimental immunologists, clinicians, and computational researchers. The role centers on building and applying computational and statistical approaches to large biomedical datasets, with opportunities to lead projects, contribute to manuscripts and grant applications, and develop first-author publications.

Current laboratory projects integrate multiple data modalities, including whole-genome sequencing, transcriptomics, single-cell RNA sequencing, antibody and systems-serology measurements, PhIP-Seq/epitope profiling, immunophenotyping, and clinical data. The position is designed to identify genomic and immunologic features linked to variation in immune responses and clinically relevant phenotypes.

The postdoctoral scholar will work on methods and analyses that connect genomic, transcriptomic, antibody, and clinical information, and may also help develop new computational approaches for systems immunology, human genetics, infectious disease, and vaccinology. The advert emphasizes reproducible analysis, data interpretation, and close collaboration across computational and experimental teams within UCLA's medical research environment.

Funding details

Salary range estimated at $71,491-$85,736; full-time postdoctoral scholar position.

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. The candidate must have strong programming experience in Python and/or R, experience analyzing high-dimensional biological or biomedical datasets, experience with next-generation sequencing and computational genomics, transcriptomics, or related omics data, a strong foundation in statistics including multivariate statistical analysis and validation of quantitative models, experience working in Linux or Unix-based computational environments, ability to independently develop, troubleshoot, document, and maintain reproducible computational analyses, ability to communicate computational results clearly to collaborators with diverse scientific backgrounds, and strong scientific writing skills with demonstrated ability to contribute to peer-reviewed research. Preferred experience includes whole-genome sequencing, human genetic variation, single-cell RNA-seq, machine learning, multi-omics integration, high-dimensional immunology datasets, workflow-management and containerization tools, HPC or cloud computing, Seurat or Scanpy, and related biomedical data methods.

How to apply

Apply through the UCLA recruitment portal using the provided application link. Submit a CV, cover letter, statement of research, and contact information for three professional references. Applications received by the next review date will receive full consideration.

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