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Bioinformatics Programmer Analyst Jobs in California

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

They are seeking a talented Bioinformatics Analyst to implement and aid in the design and analysis ... in programming in scripting (Python or similar) and interpreted languages (R, etc). • ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

GATC Health

Bioinformatics Analyst - CA

Irvine, CA

$70K - $85K/yr

We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that ... Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

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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.

Bioinformatics Workflow Developer

Astrix Inc

South San Francisco, CA • On-site

$40 - $45/hr

Contractor

Posted 21 days ago

Job description

Pay Rate Low: 40 | Pay Rate High: 45
Our client is a leading biotechnology company seeking a Bioinformatics Workflow Developer to support computational research and drug discovery initiatives.
Title: Bioinformatics Workflow Developer
Duration: 12-Month Contract | W2 + Benefits
Location: US Remote | PST Hours
Pay Rate: $40-45/hr
Position Overview
This role will develop and optimize reproducible, scalable bioinformatics workflows for large-scale biological datasets, working closely with computational scientists, biomarker researchers, and experimental biologists.
Key Responsibilities
  • Develop, maintain, and productionize bioinformatics workflows using Nextflow, WDL, CWL, or Snakemake.
  • Analyze bulk and single-cell transcriptomic and epigenetic datasets, including RNA-seq, GWAS, proteomics, and perturbational data.
  • Build computational tools, libraries, statistical models, and visualizations to support biological research.
  • Deploy workflows across HPC and cloud environments.
  • Leverage AI/LLM tools and agentic coding workflows to improve development and analysis efficiency.
  • Communicate computational findings through Jupyter/R Notebooks, visualizations, and presentations.
  • Maintain strong standards for reproducibility, documentation, and data stewardship.

Qualifications
  • Bachelor's degree or higher in Bioinformatics, Computational Biology, Genomics, Systems Biology, Statistics, or a related field.
  • MUST be authorized to work for a US employer without sponsorship.
  • 2-5+ years of experience working with large-scale biological or clinical datasets.
  • Strong Python and/or R skills; experience with Scanpy, AnnData, Pandas, scikit-learn, ggplot2, and/or Bioconductor.
  • Hands-on experience with Nextflow, WDL, CWL, or Snakemake.
  • Experience with Linux, HPC, Git, and cloud environments.
  • Familiarity with AI/LLM-assisted development, including agentic coding or automated refactoring.
  • Knowledge of FAIR data principles and containerization using Docker, Singularity, or Apptainer.
  • Strong problem-solving, communication, and cross-functional collaboration skills.

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