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Bioinformatics Engineer Jobs in California (NOW HIRING)

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Strong proficiency in Python, R, or similar programming languages * Experience applying machine ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Strong proficiency in Python, R, or similar programming languages * Experience applying machine ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Variant 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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All JobsBioinformatics Engineer JobsBioinformatics Engineer Jobs in California

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 14, 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:

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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:

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Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,337 per year, or $62.2 per hour.

Senior Staff Engineer/Scientist, Bioinformatics

San Diego Stealth Startup

San Diego, CA

$202K - $215K/yr

Full-time

Posted 13 days ago

Job description

Location: San Diego, CA

Job Type: Full-Time

Salary $202,000 - $215,000


Position Overview

The Senior Staff Engineer, Bioinformatics will develop, advance, and support large-scale analysis of multi-omic data, through application of existing and novel methods. They will be responsible for developing scalable pipelines for cloud and HPC environments. The ideal candidate combines strong expertise in data science and software development, along with the ability to work cross-functionally with wet-lab and commercial teams.

Key Responsibilities

  • Analyze large-scale multi-omic data to delineate technical artifacts from biological signals.
  • Design and implement novel computational methods to improve signal detection and reduce compute costs.
  • Develop and maintain robust analysis pipelines.
  • Build and optimize reproducible workflows in cloud and HPC environments with attention to cost and scalability.
  • Identify and resolve technical artifacts through cohort-level and assay-aware analysis.
  • Partner with wet-lab scientists to diagnose and address assay artifacts.
  • Communicate findings clearly and contribute to technical decision-making.

Qualifications

Education:

  • Ph.D. in computational biology, computer science, statistics, genomics, or related field

Required:

  • 6+ years of professional experience in bioinformatics or closely related roles.
  • Ability to distinguish biological signal from technical noise using a variety of statistical, machine learning and deep learning methodologies.
  • Proficiency in programming languages frequently used for both ad hoc and scalable production multi-omic analyses.
  • Experience developing reproducible workflows in cloud or HPC environments.

Preferred:

  • Experience optimizing compute costs at scale
  • Experience developing commercial products

Why Join Us

  • Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
  • Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
  • Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.

We are an equal opportunity employer. We thrive on diversity and collaboration.