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Bioinformatics Associate Jobs in California (NOW HIRING)

TPIRC

Research Associate - Plant Proteomics

Long Beach, CA · On-site

$75K - $95K/yr

Research Associate - Plant Proteomics Employment Type: Full-Time, On-Site in Long Beach, CA 90806 ... Familiarity with bioinformatics tools, protein databases, and software for proteomic data analysis ...

TPIRC

Research Associate - Plant Proteomics

Long Beach, CA · On-site

$75K - $95K/yr

Research Associate - Plant Proteomics Employment Type: Full-Time, On-Site in Long Beach, CA 90806 ... Familiarity with bioinformatics tools, protein databases, and software for proteomic data analysis ...

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Bioinformatics Associate information

See California salary details

$48.4K

$200.8K

$394.8K

How much do bioinformatics associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for bioinformatics associate 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 does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.
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Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate 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.

Associate Director, Clinical Biomarker Development

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 18 days ago

Job description

The Opportunity:

The Associate Director in Clinical Biomarker Development team, within Translational Medicine will play a key role in the design, execution, and interpretation of clinical biomarker strategies across Revolution Medicine's oncology pipeline. You will:

  • Develop and maintain translational and clinical biomarker strategies to support portfolio assets from phase 1 to phase 3 studies.

  • Support the development of biomarker related aspects of the trial design, including assay development, patient sample acquisition, study protocols, clinical biomarker plans, and other regulatory documents.

  • Participate in cross-functional teams such as clinical working groups and clinical study execution teams.

  • Work with internal translational groups, contract research organizations and collaborators to develop and validate assays for clinical use.

  • Manage outsourcing to CROs, oversee development of the scope of work, contracting, budgets, and timelines.

  • Collaborate with Clinical Bioinformatics and Cancer Genomics to support analysis of biomarker readouts, presenting outputs to internal and external stakeholders.

Required Skills, Experience and Education:

  • Ph.D in cancer biology, cell/molecular biology, genomics or equivalent is required.

  • 3+ years of clinical biomarker and/or assay development experience in industry is required.

  • Experience and track-record of the development, validation, and clinical implementation of biomarker readouts is required.

  • Experience of working with Contract Research Organizations to deliver biomarker readouts is required.

  • Excellent scientific and business communication skills, strong interpersonal/collaboration skills and planning skills.

  • Ability to think critically and creatively and be able to work independently to determine appropriate resources for resolution of problems.

  • Ability to multi-task and thrive in a fast-paced innovative environment.

Preferred Skills:

  • Experience with targeted oncology therapies or RAS/MAPK pathway biology.

  • Biological understanding of pancreatic, non-small cell lung and/or colorectal cancers is preferred.

  • Familiarity with biomarker platforms such as genomic, transcriptomic and proteomic assays.

  • Familiarity with analytical software and analytical capabilities for integrating clinical and biomarker datasets.

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