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Senior Bioinformatics Analyst Jobs in California

Roche

Senior Bioinformatics Scientist

Pleasanton, CA · On-site

$167/hr

The Position We are seeking a talented and highly motivated Senior Bioinformatics Scientist to ... You have expertise in DNA/RNA sequencing data analysis and interpretation. * You have a strong ...

Insmed Incorporated

Reporting to the Senior Scientist, Analytical Development, you'll lead and deliver bioinformatics solutions across Insmed Gene Therapy's discovery and development programs. You will play a critical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$140 - $190/hr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Design and execute end-to-end analytical strategies, from hypothesis generation and experimental ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Design and execute end-to-end analytical strategies, from hypothesis generation and experimental ...

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How much do senior bioinformatics analyst jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for senior bioinformatics analyst in California is $45.22, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $48.41 per hour, depending on experience, location, and employer.

What does a senior bioinformatics analyst do?

A Senior Bioinformatics Analyst designs and implements computational methods to analyze biological data, such as genomic sequences or protein structures. They often collaborate with scientists and researchers to interpret complex datasets, develop software tools, and generate insights that support biological research and discovery. In addition to data analysis, they may also mentor junior analysts, manage projects, and ensure the quality and reproducibility of results. Their role is critical in fields like genomics, drug discovery, and personalized medicine, where large-scale data analysis is essential.

What are the key skills and qualifications needed to thrive as a senior bioinformatics analyst?

To excel as a Senior Bioinformatics Analyst, you need a strong background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics or a related field. Expertise in programming languages (such as Python, R, or Perl), experience with next-generation sequencing (NGS) pipelines, and familiarity with databases and bioinformatics tools are crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These competencies enable accurate data interpretation, efficient workflow management, and successful collaboration with multidisciplinary research teams.

How does a senior bioinformatics analyst typically collaborate with interdisciplinary teams in a research environment?

As a Senior Bioinformatics Analyst, you will frequently collaborate with biologists, clinicians, statisticians, and software engineers to design experiments, interpret complex biological data, and develop analytical pipelines. Effective communication is essential, as you'll need to translate technical findings into actionable insights for non-technical team members. These collaborations often involve regular meetings, shared project management tools, and joint problem-solving sessions, enabling the team to integrate diverse perspectives and achieve research goals efficiently.

What is the difference between Senior Bioinformatics Analyst vs Bioinformatics Scientist?

AspectSenior Bioinformatics AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience in data analysisMaster's or PhD in Bioinformatics, Computational Biology, or related field; research experience
Work EnvironmentHealthcare, biotech, research institutions; focus on data analysis and reportingResearch labs, academia, biotech; focus on developing new algorithms and models
Employer & Industry UsagePharmaceutical companies, hospitals, biotech firmsResearch institutions, universities, biotech companies

The main difference is that Senior Bioinformatics Analysts typically focus on analyzing and interpreting biological data within healthcare or biotech settings, often requiring practical data analysis skills. Bioinformatics Scientists usually engage in developing new computational methods and conducting research, often holding advanced degrees. Both roles are essential in the bioinformatics field but differ in their focus and responsibilities.

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

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

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

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

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

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

What cities in California are hiring for Senior Bioinformatics Analyst jobs?

Cities in California with the most Senior Bioinformatics Analyst job openings:

Senior Bioinformatics Analyst jobs near you
Infographic showing various Senior Bioinformatics Analyst job openings in California as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 6% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $94,060 per year, or $45.2 per hour.

Senior Bioinformatics Scientist, Translational Bioinformatics

Hayward, CA • On-site

Predicine, Inc
Biotechnology Research and Development • 11 - 50 employees
Learn more about Predicine, Incexternal

Full-time

Posted 9 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.

Apply