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Clinical Bioinformatic Jobs (NOW HIRING)

Senior Bioinformatics Scientist, Translational Bioinformatics Full Time Hayward, CA, US About ... We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next ...

Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data ...

Collaborate with laboratory scientists, clinicians, and software engineers to validate and integrate bioinformatics solutions into clinical workflows. * Apply software engineering best practices ...

$186K/yr

This role provides senior technical and people leadership across software engineering, clinical bioinformatics workflow implementation, data integration, platform modernization, and production ...

... clinical data to identify disease mechanisms and improve patient outcomes. Key Duties ... As part of the department and the bioinformatics team in particular, assists with the development ...

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Experience supporting bioinformatics workflows within clinical diagnostics or assay development environments. Contract Details * Contract Length: 1 year * Employment: W2 contract only * Pay Rate: $45 ...

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Clinical Bioinformatic information

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How much do clinical bioinformatic jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for clinical bioinformatic in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.

What are popular job titles related to Clinical Bioinformatic jobs?

For Clinical Bioinformatic jobs, the most frequently searched job titles are:

Associate Director, Clinical Biomarker Development

Redwood City, CA โ€ข Hybrid

Full-time

Re-posted 10 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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