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Bioinformatics Research Jobs in California (NOW HIRING)

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

... R&D teams to develop and implement new discovery and risk assessment product applications. • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to ...

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 ... Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment ...

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases ... genome browsers, mutation repositories), or integrative data analysis as it relates to genetics ...

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 ... Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment ...

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 ... Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment ...

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases ... genome browsers, mutation repositories), or integrative data analysis as it relates to genetics ...

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Bioinformatics Research information

See California salary details

$58.7K

$93.2K

$147.5K

How much do bioinformatics research jobs pay per year?

As of Sep 3, 2026, the average yearly pay for bioinformatics research in California is $93,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,800.00 per year, depending on experience, location, and employer.

What is bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.

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

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

How to become a bioinformatics researcher?

To become a bioinformatics researcher, typically a candidate needs a bachelor's degree in bioinformatics, biology, computer science, or a related field, followed by a master's or Ph.D. for advanced roles. Developing skills in programming languages like Python or R, understanding biological data, and gaining experience with tools such as genomic databases are essential. Relevant internships, research projects, and knowledge of statistical analysis can also enhance prospects in this field.

What does a bioinformatics researcher do?

A bioinformatics researcher analyzes biological data using computational tools and algorithms to understand genetic, genomic, and molecular information. They often work with large datasets, develop software or pipelines, and collaborate with biologists to interpret results, typically requiring skills in programming, statistics, and biology. Their work supports advancements in personalized medicine, genomics, and disease research.

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

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

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

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

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

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

What cities in California are hiring for Bioinformatics Research jobs?

Cities in California with the most Bioinformatics Research job openings:

Bioinformatics Research jobs near you
Infographic showing various Bioinformatics Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Senior Scientist, Bioinformatics

ChromoLogic

Monrovia, CA

$90K - $120K/yr

Full-time

Re-posted 13 days ago

Job description

Drive the Future of Precision Medicine

ChromoLogic is advancing transformative biomedical technologies through cutting-edge research and development programs focused on nucleic acid biomarkers and next-generation diagnostics. We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the discovery, development, and validation of novel biomarkers for prognostic and precision medicine applications.

This role offers an opportunity to work at the forefront of genomics, machine learning, and translational research. The successful candidate will collaborate closely with multidisciplinary teams of scientists, data analysts, and external partners to transform complex biological data into actionable insights that improve patient outcomes.

ChromoLogic LLC (www.chromologic.com) is a world-class innovation center with advanced scientific research and development in the medical, aerospace and security markets.


What You'll DoScientific Leadership & Innovation
  • Lead bioinformatics efforts supporting the discovery and validation of nucleic acid biomarkers
  • Develop, optimize, and maintain robust computational pipelines for NGS and multi-omics data analysis
  • Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers
  • Design and execute end-to-end analytical strategies, from hypothesis generation and experimental planning through data interpretation and reporting
Cross-Functional Collaboration
  • Partner with molecular biologists, experimental scientists, clinicians, and external collaborators to drive research programs forward
  • Translate complex computational results into clear scientific recommendations and business-relevant insights
  • Contribute to strategic planning and research initiatives across the organization's portfolio
Research Excellence
  • Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical capabilities
  • Ensure scientific rigor, reproducibility, and quality across all computational workflows
  • Author technical reports, peer-reviewed publications, research proposals, standard operating procedures (SOPs), and grant applications
  • Present findings to scientific teams, leadership, collaborators, and industry stakeholders

Required Qualifications
  • Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline
  • 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical, or industry experience
  • Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development
  • Strong proficiency in Python, R, or similar programming languages
  • Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets
  • Proven ability to independently design studies, analyze complex datasets, and derive meaningful scientific conclusions
  • Strong record of collaboration in multidisciplinary research environments
  • Outstanding written, verbal, and presentation communication skills

Why Join Us?
  • Work on mission-critical technologies with real-world impact
  • Collaborate with top-tier scientists and engineers
  • Engage in meaningful, application-driven innovation


What We Offer
  • Competitive salary and benefits package
  • A mission-driven culture where discovery and innovation are at the heart of everything
  • Close collaboration with scientists and leaders shaping breakthrough research
  • A chance to build something meaningful-your systems, your ideas, your leadership
  • Flexible environment, high ownership, and the ability to make an immediate impact

If you're passionate about leveraging computational biology, machine learning, and genomics to solve complex biomedical challenges, we'd love to hear from you.

Employment Type: FULL_TIME

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