Postdoctoral Position in Infectious Diseases – Herman Lab 2026-2027 Full-time NEW

Postdoctoral Position in Infectious Diseases – Herman Lab 2026-2027

Salary range: See Table 23. A reasonable estimate for this position is $71,491-$85,736.

Application Window

Open date: September 16, 2026

Next review date: Friday, Oct 16, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, Dec 30, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position Description

The Division of Infectious Diseases in the Department of Medicine at the David Geffen School of Medicine at UCLA is seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning approaches to investigate human immune responses, host genetics, infectious disease, and vaccine immunity. The position will work closely with experimental immunologists, clinicians, and computational researchers and will have opportunities to lead computational projects, develop new analytical approaches, contribute to manuscripts and grant applications, and generate first-author publications. Current projects in the laboratory integrate whole-genome sequencing (WGS), transcriptomics, single-cell RNA sequencing, antibody and systems-serology measurements, PhIP-Seq/epitope profiling, immunophenotyping, and clinical data. A major focus of the position will be identifying genomic and immunologic features associated with variation in immune responses and clinically relevant phenotypes.

Research activities may include analysis of whole-genome and next-generation sequencing data (including quality control, variant calling, annotation, filtering, genetic association, and biological interpretation), analysis of single-cell RNA-seq data (including quality control, normalization, dimensionality reduction, clustering, cell-type annotation, differential expression, pathway analysis, and comparison of cellular states across clinical or experimental groups), and analysis of high-dimensional immunologic datasets (including systems serology, antibody profiling, PhIP-Seq, flow-cytometry-derived measurements, and related immune assays).

Research activities may also include integration of genomic, transcriptomic, antibody, immunophenotyping, and clinical datasets to identify biological signatures and mechanisms associated with immune phenotypes, as well as development and application of machine-learning and statistical models for classification, prediction, feature selection, dimensionality reduction, biomarker discovery, and multimodal data integration.

Related research efforts may also include evaluation and implementation of emerging computational and machine-learning methods when scientifically appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and experimental collaborators, and collaboration with laboratory investigators on experimental design, statistical analysis, interpretation of results, manuscript preparation, and grant applications.

The candidate will be encouraged to develop an independent research direction within the broader scientific interests of the laboratory and to contribute to the development of new computational approaches for systems immunology, human genetics, infectious disease, and vaccinology.

The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what's right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at Cultural North Star.

Qualifications

Basic qualifications

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.

Additional qualifications

The candidate must have strong programming experience in Python and/or R.

The candidate must have experience analyzing high-dimensional biological or biomedical datasets.

The candidate must have experience with next-generation sequencing and computational genomics, transcriptomics, or related omics data.

The candidate must have strong foundation in statistics, including multivariate statistical analysis and appropriate validation of quantitative models.

The candidate must have experience working in Linux or Unix-based computational environments.

The candidate must have ability to independently develop, troubleshoot, document, and maintain reproducible computational analyses.

The candidate must have ability to communicate computational results clearly to collaborators with diverse scientific backgrounds.

The candidate must have strong scientific writing skills and demonstrated ability to contribute to peer-reviewed research.

Application Requirements

Document requirements

• Curriculum Vitae – Your most recently updated C.V.
• Cover Letter
• Statement of Research
• UCLA Mission Statement – Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service.

Reference requirements

• 3 required (contact information only)

Provide contact information of 3 professional references.

About UCLA

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• “Misconduct” means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy for Employees, Students and Third Parties
• APM – 035: Affirmative Action and Nondiscrimination in Employment

Job Location

Los Angeles, CA