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Bioinformatics Data Engineer Jobs in California (NOW HIRING)

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

... data. * Experience implementing, and evaluating novel bioinformatics algorithms and pipelines. * Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

... data. * Experience implementing, and evaluating novel bioinformatics algorithms and pipelines. * Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development * Strong proficiency in Python, R, or similar programming languages * Experience ...

Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development * Strong proficiency in Python, R, or similar programming languages * Experience ...

... co-developer, and a key participant in large-scale, cross-departmental initiatives. In this role ... Analyze complex multi-omic data using high-performance internal pipelines, collaborating closely ...

Showing results 41-60

Bioinformatics Data Engineer information

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What job categories do people searching Bioinformatics Data Engineer jobs in California look for? The top searched job categories for Bioinformatics Data Engineer jobs in California are:
What cities in California are hiring for Bioinformatics Data Engineer jobs? Cities in California with the most Bioinformatics Data Engineer job openings:
Infographic showing various Bioinformatics Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Staff Scientist, Bioinformatics

Thermo Fisher Scientific

South San Francisco, CA • On-site

$129K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 423 frontline employees who took The Breakroom Quiz

197th of 538 rated manufacturers


Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Discover Impactful Work
You'll help develop advanced NGS workflows and bioinformatics solutions. You will contribute to developing fully automated, sample-to-report NGS workflows for both clinical and research applications, with a focus on oncology. Working with cross-functional teams of algorithm developers, software engineers, molecular biologists, and product managers, you will help advance genomic analysis and precision medicine.
Location
This is a fully onsite position based in South San Francisco, CA or Pleasanton, CA site. Relocation assistance is not available for this role.
A Day in the Life
  • Design, develop, and optimize bioinformatics pipelines supporting next-generation sequencing (NGS) workflows for oncology and other clinical and research applications
  • Develop automation tools and scalable software solutions to streamline genomic data processing and analysis
  • Collaborate with cross-functional teams, including software engineers, algorithm developers, molecular biologists, and product managers, to deliver integrated sample-to-report solutions
  • Validate bioinformatics algorithms and workflows while ensuring compliance with quality and regulatory standards
  • Translate customer and scientific requirements into technical specifications and software requirements
  • Support product development through data analysis, troubleshooting, testing, and documentation
  • Maintain clear technical documentation and contribute to continuous process improvement initiatives

Keys to Success
Education
  • Bachelor's degree in Bioinformatics, Computational Biology, Biomedical Engineering, or related biological field with 8+ years of experience in bioinformatics, with focus on NGS applications and oncology; OR Advanced Degree with 6+ years of experience

Experience
  • Experience developing bioinformatics pipelines and genomic analysis workflows in regulated environments
  • Proficiency with common bioinformatics tools and algorithms for NGS analysis
  • Experience with variant calling, sequence alignment, and functional annotation
  • Strong programming skills in Python, Perl, and shell scripting
  • Expertise working in Linux/Unix environments and relational databases
  • Experience with testing and documentation in regulated environments
  • Experience supporting cross-functional software or product development teams
  • Experience with cloud platforms (AWS) and containerization technologies

Knowledge, Skills, and Abilities
  • Knowledge of statistical analysis and machine learning techniques
  • Familiarity with Java programming is desired
  • Demonstrated project coordination and cross-functional team collaboration
  • Clear written and verbal communication skills
  • Detail-oriented with ability to adapt to team standards
  • Understanding of clinical and regulatory requirements for diagnostic applications
  • Knowledge of software development best practices and version control systems
  • Strong analytical and problem-solving abilities

Other
  • Must be legally authorized to work in the United States without sponsorship now or in the future
  • Must be able to pass a comprehensive background check and drug scre

Compensation and Benefits
The salary range estimated for this position based in California is $129,400.00-$165,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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