Research Associate - Computational Immunology

Minimum Qualifications (One of the following)

• M.S. degree in Computational Biology, Bioinformatics, Genomics, Computer Science, Biostatistics, or a related discipline plus three years of relevant experience performing computational genomics/immunogenomics analyses and tool development; OR
• Ph.D. in Computational Genomics, Computational Immunology, Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a closely related field.

Required Technical Expertise

• Demonstrated experience developing genomic analysis tools and pipelines and analyzing large-scale omics datasets.
• Strong programming skills in Python and/or R; proficiency with scientific computing libraries and data structures.
• Strong grounding in statistics for high-dimensional biology (e.g., regression models, multiple testing, experimental design, batch effects).
• Experience working in HPC/Linux environments, containerization (e.g., Docker/Singularity), and job schedulers (e.g., SLURM or equivalent).
• Ability to write clear documentation and produce publishable-quality analyses and visualizations.

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

• Strong analytical reasoning and scientific rigor; ability to debug complex pipelines end-to-end.
• Excellent communication skills and ability to translate computational results for experimental and clinical collaborators.
• High ownership, organization, and attention to detail; ability to manage multiple concurrent projects and deadlines.
• Collaborative mindset with demonstrated ability to work in multidisciplinary teams.

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 theBackground Screening Policy Appendix D****https://policy.usc.edu/wp-content/uploads/2024/08/Background-Screening-Policy-Appendix-D-1.pdffor 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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