The USC Mann School of Pharmacy and Pharmaceutical Sciences, Titus Department of Clinical Pharmacy, is seeking a Research Associate, Computational Immunology, to develop, implement, and apply advanced computational methods for immune-focused genomic and multi-omics analyses. This role will lead the design of scalable analysis pipelines, creation of robust software tools, and integrative interpretation of large, complex datasets (e.g., RNA-seq, TCR/BCR repertoire sequencing, single-cell multi-omics, proteomics, epigenomics). The successful candidate will partner closely with experimental and clinical teams to translate computational insights into actionable biological hypotheses and high-impact manuscripts and grant applications.
Key Responsibilities
Method and tool development
Design, develop, test, and maintain computational tools for genomic and immunogenomic analyses (e.g., repertoire inference, clonotype tracking, antigen-receptor diversity metrics, cell-state modeling, and immune microenvironment profiling).
Build and maintain reproducible, modular pipelines for high-throughput analyses using best practices in software engineering and scientific computing.
Large-scale omics analysis
Analyze and integrate large datasets across modalities (bulk RNA-seq, scRNA-seq, scATAC-seq, repertoire sequencing, proteomics/metabolomics), including quality control, normalization, batch correction, and statistical modeling.
Perform differential analysis, pathway enrichment, deconvolution/cell composition inference, clonotype overlap and tracking, and longitudinal/paired analyses.
Data integration, infrastructure, and databases
Develop and manage analysis-ready databases and metadata frameworks; implement governance and documentation standards to ensure data integrity and reuse.
Optimize computational workflows for high-performance computing (HPC) and/or cloud environments; implement scalable storage and compute strategies.
Scientific collaboration and communication
Collaborate with wet-lab and clinical investigators to define analysis plans, interpret results, and prioritize follow-up experiments.
Prepare figures, reports, and reproducible notebooks; contribute to manuscripts, conference abstracts, and grant proposals.
Present methods and results to multidisciplinary audiences; provide technical guidance and training to lab members as needed.
Minimum Qualifications (One of the following)
Required Technical Expertise
Preferred Qualifications
Immunogenomics experience including one or more of:
TCR/BCR repertoire analysis, clonotype inference/annotation, diversity/selection metrics, and repertoire comparison across conditions.
Single-cell immune profiling (e.g., scRNA-seq / CITE-seq / scATAC-seq) and multi-omic integration.
Experience building and maintaining analysis databases and metadata schemas; familiarity with FAIR principles.
Prior contributions to open-source software, internal toolkits, or published methods papers.
Core Competencies
The annual base salary range for this position is $71,000 - $89,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Minimum Education: Ph.D. or equivalent doctorate
Minimum Experience: 1 year
Minimum Field of Expertise: Directly related education and experience in research specialization with advanced knowledge of equipment, procedures and analysis methods.
USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
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