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Bioinformatics Engineer Jobs in California (NOW HIRING)

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

As a Bioinformatics Engineer, you will develop software for analyzing and visualizing complex biological data while collaborating with Front-End and Cloud Infrastructure Engineering teams.

Arcus Biosciences

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

LatchBio

AI Biologist - Proteomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Proteomics As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building ...

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Bioinformatics Engineer information

See California salary details

$42.4K

$129.3K

$235.4K

How much do bioinformatics engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for bioinformatics engineer in California is $129,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

More about Bioinformatics Engineer jobs
What are the most commonly searched types of Bioinformatics Engineer jobs in California? The most popular types of Bioinformatics Engineer jobs in California are:
What are popular job titles related to Bioinformatics Engineer jobs in California? For Bioinformatics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in California look for? The top searched job categories for Bioinformatics Engineer jobs in California are:
What cities in California are hiring for Bioinformatics Engineer jobs? Cities in California with the most Bioinformatics Engineer job openings:
What are popular job titles related to Bioinformatics Engineer jobs in CA? For Bioinformatics Engineer jobs in CA, the most frequently searched job titles are:
Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in California as of July 2026, with employment types broken down into 7% Internship, 3% As Needed, 62% Full Time, 13% Part Time, 2% Contract, and 13% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $129,337 per year, or $62.2 per hour.

Bioinformatics Engineer

The Select Group

South San Francisco, CA • On-site

Full-time

Re-posted 25 days ago

Job description

BIOINFORMATICS ENGINEER | SAN FRANCISCO, CA
The Select Group is seeking a Bioinformatics Engineer to join one of our top biotechnology partners in the Fortune 100. This team works with next gen sequencing and diagnostic instruments that help detect lung cancer and reproductive diseases. This person will be working on the bioinformatics pipeline and will be testing existing and new features on the next gen sequencing applications/platforms. Note, working hours will be 9:00am-5:00pm PST.
BIOINFORMATICS ENGINEER REQUIREMENTS
  • Bachelors Degree and 5+ years of relevant work experience OR Masters Degree and 3+ years of relevant experience OR PhD and 2+ years of relevant experience
    • Degree should be in Bioinformatics, Chemistry, Biology, Biochemistry, Computational Science, or a similar scientific field
  • 3 years of coding experience and proficiency with at least 1 language (preference on Python)
  • Familiarity and experience with Linux command lines
  • Prior experience with next gen sequencing
  • Must have documentation experience (likely will not be listed on resume)
  • Soft skills: detail oriented, team player, flexible, able to work in fast paced environments

Bonus skills:
  • Oncology experience (huge plus)
  • FDA Compliance 21 CFR documentation experience
  • Test development experience with Java
  • Experience with Selenium
  • Familiarity with mapping algorithm development

BIOINFORMATICS ENGINEER RESPONSIBILITIES
  • Analyze the requirements for data analysis pipelines and visualizations to support various applications (Oncology, Reproseq, Immuno-oncology, CarrierSeq etc) and translate them to software specifications.
  • Help software development team to understand and design the complex Informatics and Data Visualization features. Work closely with developers to implement software features
  • Write and execute test protocols to validate the features and data analysis pipelines
  • Troubleshooting the data analysis pipeline and software issues.
  • Check the correctness of output Compare output data with other equivalent systems
  • Perform system performance profiling
  • Perform test automation with Python and Java
  • Prepare FDA submission documentation when needed
  • Collaborate with cross functional team

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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