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Bioinformatic Jobs in California (NOW HIRING)

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN's biomedical knowledge base by integrating new knowledge from public ...

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Bioinformatic information

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$53.8K

$94.9K

$137.2K

How much do bioinformatic jobs pay per year?

As of Sep 8, 2026, the average yearly pay for bioinformatic in California is $94,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $108,100.00 per year, depending on experience, location, and employer.

What is a bioinformatic?

A bioinformatics job involves using computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and gene expression patterns. Professionals in this field develop algorithms, manage large datasets, and apply statistical methods to extract meaningful insights from complex biological information. Bioinformaticians work in areas like genomics, drug discovery, personalized medicine, and agricultural research, often collaborating with biologists and data scientists.

What does a bioinformatic do?

Bioinformaticians typically spend their days analyzing biological data, developing and optimizing algorithms, and interpreting results in collaboration with laboratory scientists and researchers. You may work on tasks such as processing large-scale sequencing data, maintaining databases, and creating custom scripts to support specific research projects. Regular meetings with biologists, data analysts, and software engineers are common to ensure seamless integration of experimental and computational tasks. The collaborative nature of the role means Bioinformaticians often contribute to publications, share findings with team members, and help troubleshoot complex data challenges.

What are the key skills and qualifications needed to thrive in the bioinformatic position?

To thrive as a Bioinformatician, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python, R, or Perl, experience using bioinformatics tools and databases, and knowledge of data visualization platforms are typically expected. Problem-solving, strong communication, and the ability to work collaboratively are valued soft skills in this position. These competencies are essential for efficiently analyzing complex biological datasets, deriving actionable insights, and contributing to multidisciplinary research teams.

Is bioinformatics well paying?

Bioinformaticians typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like R or Python can enhance earning potential.

Is it hard to get a job in bioinformatics?

Bioinformatics jobs can be competitive, often requiring strong skills in biology, computer science, and data analysis, along with experience in programming languages like Python or R. Candidates with relevant education, such as a degree in bioinformatics or related fields, and familiarity with tools like genomic databases and analysis pipelines tend to have better prospects.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, bioinformatics scientist, and data analyst. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R, Python, or specialized bioinformatics platforms. They are common in research institutions, pharmaceutical companies, and healthcare organizations.

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

The most popular types of Bioinformatic jobs in California are:

What are popular job titles related to Bioinformatic jobs in California?

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

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

The top searched job categories for Bioinformatic jobs in California are:

What cities in California are hiring for Bioinformatic jobs?

Cities in California with the most Bioinformatic job openings:

Bioinformatic jobs near you
Infographic showing various Bioinformatic job openings in California as of August 2026, with employment types broken down into 79% Full Time, 8% Part Time, 4% Temporary, and 9% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $94,910 per year, or $45.6 per hour.

Senior Bioinformatics Research Engineer

Freenome

Brisbane, CA • On-site

$161K - $227K/yr

Full-time

Posted 8 days ago

Job description

About this opportunity:
As a Senior Bioinformatics Research Engineer, you will work on Freenome's computational platform for R&D, developing and deploying bioinformatics research software and tooling. As part of an interdisciplinary R&D team, you will work in close collaboration with computational biologists, machine learning scientists and software engineers. You will develop cutting edge solutions at the intersection of machine learning, genetic sequencing technology, biological data, and distributed systems. These contributions will drive our mission to diagnose cancer at its most actionable and early stages.
The role reports to the Director of Bioinformatics Research Engineering. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.
What you'll do:
  • Work at the intersection of computational biology, machine learning research, software engineering and biological data.
  • Lead the development of Freenome's bioinformatics research engineering framework and internal tools.
  • Build for significant growth and scaling challenges as we transition from research to product development.
  • Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research.
  • Manage and integrate data sources across the company (laboratory, bioinformatics, clinical) to enable advanced multiomic analysis.
  • Improve the reliability and scalability of our science platform as it grows.
  • Develop software and workflows that support a long term vision for bioinformatics research and production.
  • Enable data driven science discoveries in biology and healthcare.

Must haves:
  • PhD in a quantitative field such as computational biology, cancer biology, statistics, bioinformatics, computer science, or B.S./M.S. and equivalent experience.
  • 4+ years of experience with bioinformatics infrastructure, automation, and software engineering.
  • Robust history of delivering major technical projects or analyses.
  • Strong computational and programming skills, in Python or equivalent, including thorough experience with large scale systems and user bases.
  • Fundamental understanding of bioinformatics, including the central dogma, molecular or cancer biology, or familiarity with regulatory processes.
  • Experience in NGS data analysis and bioinformatic pipelines.
  • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
  • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
  • Demonstrated ability to partner with laboratory and computational scientists to translate scientific roadmaps into concrete products.
  • Ability to operate in a highly cross-functional environment where collaboration across disciplines is absolutely necessary.

Nice to haves:
  • Experience in applying statistical methods and algorithms to large-scale datasets.
  • Experience in analyzing one or more of the following biological modalities: epigenomics, proteomics (including mass spectrometry), transcriptomics (RNA-seq).
  • Track record of selflessly supporting and growing highly effective teams.

Benefits and additional information:
The US target range of our base salary rate for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
  • Family & Medical Leave Act (FMLA)
  • Equal Employment Opportunity (EEO)
  • Employee Polygraph Protection Act (EPPA)

California applicants please review the CCPA Notice at Collection here:
  • California Consumer Privacy Act (CCPA)

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