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Cancer Bioinformatics Jobs in California (NOW HIRING)

Bioinformatics Engineer

San Diego, CA ยท On-site

$100K - $140K/yr

Deploy AI-driven capabilities--such as cancer foundation models and LLM agents--into genomic interpretation and clinical workflows. Platform & Software Engineering * Re-engineer bioinformatics ...

Bioinformatics Scientist

Scotts Valley, CA ยท On-site

$80K - $130K/yr

... cancer genomics. Prior experience with proximity ligation (Hi-C) is not required, but it is ... The role of Bioinformatics Scientist requires a high level of scientific accomplishment, innovative ...

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Showing results 1-20

Cancer Bioinformatics information

See California salary details

$48.4K

$200.8K

$394.8K

How much do cancer bioinformatics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for cancer 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 cancer bioinformatics?

A Cancer Bioinformatics job involves analyzing and interpreting large-scale biological data to understand cancer biology and improve treatment strategies. Professionals in this field use computational tools, machine learning, and statistical methods to study genomic, transcriptomic, and clinical data. They work closely with oncologists, biologists, and data scientists to identify biomarkers, track tumor evolution, and develop personalized medicine approaches. This role is essential for advancing cancer research, optimizing therapies, and contributing to precision oncology.

What are the typical daily responsibilities of a cancer bioinformatics specialist?

Professionals in Cancer Bioinformatics spend their days analyzing large-scale genomic datasets from cancer patients, designing algorithms to identify genetic mutations, and interpreting the biological significance of their findings. They often collaborate closely with oncologists, laboratory scientists, and other bioinformaticians to translate data into clinically meaningful insights. Tasks may also include developing and maintaining computational pipelines, preparing reports or visualizations, and staying updated on new analytical methods. This role blends technical and analytical work with teamwork, offering a dynamic work environment where your contributions can directly impact cancer research and patient outcomes.

What are the key skills and qualifications needed for cancer bioinformatics?

To excel in Cancer Bioinformatics, you typically need a strong background in bioinformatics, computational biology, statistical analysis, and a degree in a life science or computational field. Familiarity with tools such as R, Python, next-generation sequencing (NGS) platforms, and commonly used databases like TCGA or COSMIC is vital, and certifications in bioinformatics or genomics can be advantageous. Excellent problem-solving abilities, teamwork, and strong communication skills help in collaborating effectively with multidisciplinary researchers and clinicians. Mastering these skills ensures accurate analysis of complex cancer datasets, supports collaborative discoveries, and advances precision oncology research.

What is the role of bioinformatics in cancer?

In cancer bioinformatics, professionals analyze large-scale genomic and molecular data to identify genetic mutations, biomarkers, and pathways involved in cancer development and progression. They use computational tools and algorithms to interpret sequencing data, aiding in diagnosis, personalized treatment, and research efforts.

What are the most commonly searched types of Cancer Bioinformatics jobs in California?

The most popular types of Cancer Bioinformatics jobs in California are:

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

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

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

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

What cities in California are hiring for Cancer Bioinformatics jobs?

Cities in California with the most Cancer Bioinformatics job openings:

Infographic showing various Cancer Bioinformatics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $200,803 per year, or $96.5 per hour.

Senior Bioinformatics Scientist, Translational Bioinformatics

Predicine, Inc

Hayward, CA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Location: Hayward, CA
Work Arrangement: TBD
Department: Translational Bioinformatics (NGS/Liquid Biopsy)
Employment Type: Full-TimeAbout Predicine

Predicine is a precision oncology company advancing the fight against cancer through cutting-edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next-generation diagnostics from bench to bedside — faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care.

Job Summary

We are seeking a highly motivated senior bioinformatics scientist to support NGS-based liquid biopsy studies and translational bioinformatics programs. The incumbent will analyze cfDNA/cfRNA, tissue, RNA-seq, multi-omics, and clinical data to develop biomarker testing strategies for cancer diagnosis and clinical applications. This is a client-facing scientist role — you'll represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists, translating client needs into analysis plans, result interpretation, and follow-up support with a client-success mindset. This is an exciting opportunity to join a fast-growing startup, accelerate your growth, and make a positive, immediate impact on cancer diagnosis and treatment.

What You'll Do

The Senior Bioinformatics Scientist, NGS and Liquid Biopsy will lead bioinformatics analysis in support of NGS-based liquid biopsy studies and translational bioinformatics programs. This role will analyze cfDNA/cfRNA, tumor tissue, RNA-seq, multi-omics, and clinical datasets to develop and refine biomarker testing strategies for cancer diagnosis and clinical applications. Serving as a client-facing scientific partner, the incumbent will represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists — translating client needs into analysis plans, interpreting results, and providing ongoing follow-up support with a client-success mindset. The position will also develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, and study-specific analyses, while coordinating internal and external collaborations, scientific presentations, publications, and mentoring across translational bioinformatics projects.

Key Responsibilities & Time Allocation % of TimeResponsibility35%Bioinformatics Analysis Leadership — Lead bioinformatics analysis for NGS and liquid biopsy studies, including assay development, validation support, interpretation, and biomarker reporting.25%Multi-Omics Data Analysis — Analyze clinical, genomic, transcriptomic, proteomic, and other multi-omics datasets to identify biomarkers, targets, and tumor biology insights.20%Pipeline & Model Development — Develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, annotation, and study-specific analyses.15%Client-Facing Scientific Partnership — Serve as a client-facing scientific partner in technology meetings, aligning scope, data interpretation, deliverables, and follow-up with clients and KOLs.5%Collaboration & Mentorship — Coordinate internal/external collaborations, scientific presentations, publications, and mentoring for translational bioinformatics projects.


What You Bring

Education


MinimumPreferredLevelMaster's degree with 5+ years of relevant experienceDoctorate (PhD)Field of StudyBioinformatics, Computational Biology, Biostatistics, Genomics, Molecular Biology, Cancer Biology, or related fieldSame fields


Experience


MinimumPreferredWork Experience3+ years post-graduation with hands-on NGS analysis and client-facing collaboration experiencePharmaceutical industry experience; tumor research publications or experience


Required Skills & Qualifications

  • Strong R and/or Python programming skills; familiarity with Unix/Linux and reproducible workflows
  • Hands-on NGS and liquid biopsy analysis experience, including cfDNA/cfRNA, tumor tissue, RNA-seq, or single-cell data
  • Experience with variant analysis, CNV/fusion analysis, MSI/TMB, multi-omics integration, statistics, or machine learning
  • Strong publication or meeting presentation record, with clear scientific writing skills
  • Excellent client-facing communication with pharma clients, KOLs, client data scientists, and internal cross-functional teams

Preferred Skills & Qualifications

  • Pharmaceutical industry experience
  • Tumor research publications or hands-on tumor research experience
Join Us
At Predicine, you won't just analyze data — you'll help translate cutting-edge genomic science into real diagnostic tools that change how cancer is detected and treated. If you're a scientist who thrives at the intersection of deep technical analysis and client partnership, we want to hear from you.

Apply today and help us turn breakthrough science into better patient outcomes.


Predicine is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.