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Research Associate Bioinformatics Jobs in California

Natera

Senior Research Associate

San Carlos, CA · On-site

$108K - $135K/yr

We are looking for a highly motivated Senior Research Associate with a strong focus on process ... bioinformatics, statistics, project and product management) and serve as point person to ensure the ...

Insmed Incorporated

Collaborate with R&D to develop bioinformatics platforms to help identify and validate molecular ... Participate in cross-disciplinary mentoring and training of associate scientists. * Promote data ...

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Research Associate Bioinformatics information

See California salary details

$48.4K

$200.8K

$394.8K

How much do research associate bioinformatics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for research associate bioinformatics in California is $200,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $394,800.00 per year, depending on experience, location, and employer.

What is a research associate bioinformatics?

A Research Associate in Bioinformatics is responsible for analyzing biological data using computational tools and programming. They work with large datasets, such as genomic sequences or protein structures, to extract meaningful insights for research and development. Their role often involves developing algorithms, writing scripts, and collaborating with scientists to interpret data. They typically work in academic institutions, biotechnology companies, or pharmaceutical industries. Strong skills in bioinformatics software, databases, and programming languages like Python or R are essential for this role.

What are the day-to-day responsibilities of a research associate bioinformatics?

In a typical day, a Research Associate Bioinformatics may analyze large datasets using computational methods, develop and maintain scripts or pipelines for data processing, and collaborate closely with biologists and other data scientists to interpret results. The role often involves troubleshooting technical issues, staying updated on the latest tools and publications, and preparing data visualizations or reports for team meetings. You might also participate in lab meetings, contribute to grant proposals or scientific papers, and handle multiple projects or datasets at once. This combination of technical work, collaborative problem-solving, and ongoing learning keeps the daily routine dynamic and engaging.

What are the key skills and qualifications needed for a research associate bioinformatics?

To thrive as a Research Associate Bioinformatics, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and familiarity with databases such as GenBank or Ensembl are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help you excel in collaborative research settings. These combined skills are vital for analyzing complex biological data, drawing meaningful insights, and contributing effectively to scientific research projects.

What are popular job titles related to Research Associate Bioinformatics jobs in California?

For Research Associate Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Research Associate Bioinformatics jobs in California look for?

The top searched job categories for Research Associate Bioinformatics jobs in California are:

Research Associate Bioinformatics jobs near you
Infographic showing various Research Associate Bioinformatics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $200,803 per year, or $96.5 per hour.

Research Associate - Computational Immunology

University of Southern California

Los Angeles, CA • On-site

$71K - $89K/yr

Full-time

Re-posted 9 days ago

University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

102nd of 628 rated colleges and universities

Job description

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)
  • 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 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.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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