ZipRecruiter

Log In

1

Bioinformatics Programmer Analyst Jobs in California

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$140 - $190/hr

Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development * Strong proficiency in Python, R, or similar programming languages * Experience ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development * Strong proficiency in Python, R, or similar programming languages * Experience ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development * Strong proficiency in Python, R, or similar programming languages * Experience ...

previous page

Showing results 41-60

All JobsBioinformatics Programmer Analyst JobsBioinformatics Programmer Analyst Jobs in California

Bioinformatics Programmer Analyst information

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

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

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

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

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

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

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

Bioinformatics Programmer Analyst jobs near you
Infographic showing various Bioinformatics Programmer 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.

Senior Bioinformatics Scientist, Translational Bioinformatics

Predicine, Inc

Hayward, CA • On-site

Full-time

Posted 17 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.