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Bioinformatics Data Engineer Jobs in California (NOW HIRING)

It is a discovery engine that transforms messy biological data into real insights in minutes ... ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl ...

... Engineering, Bioinformatics, or a related field. Must have strong research ability and solid knowledge in developing and validating analytical approaches, interpreting complex biological data, and ...

It is a discovery engine that transforms messy biological data into real insights in minutes ... ABOUT THE ROLE We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl ...

Showing results 21-40

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 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 July 2026, with employment types broken down into 2% Locum Tenens, 47% As Needed, 26% Full Time, 5% Part Time, 1% Contract, and 19% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Bioinformatics Software Engineer

Bioinformatics Software Engineer

MyOme

San Francisco, CA

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

Position Overview:

MyOme is looking for a talented and experienced bioinformatics software engineer to join the team. As a Bioinformatics Software Engineer, you will build scalable, cloud-based pipelines that power genomic and clinical data analysis in a real-world healthcare setting. You will combine strong engineering practices with bioinformatics expertise to develop reliable, production-grade systems that support clinical decision-making and advance precision medicine.

What You'll Do:

  • Build, test, and maintain a suite of robust bioinformatics tools, workflows, and analysis modules.
  • Work in a team to scope, define, and articulate solutions to complex computing and information management challenges at the forefront of modern bioinformatics.
  • Contribute to the architecture and operations of our computing infrastructure.
  • Contribute to the team through code reviews and design discussions
  • Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement
  • Balance quick wins with long-term technical sustainability
  • As a well-rounded engineer, participate in all aspects of the development process and be interested in our mission.

What You'll Need:

  • No specific degree required - if you can do the work well and collaborate with humility, we want to hear from you.
  • 2+ years of experience building and managing bioinformatics workflows (e.g., Nextflow, Snakemake, WDL, CWL).
  • Proven experience optimizing and scaling bioinformatics pipelines for performance and reliability.
  • Proficient in Python, with bonus points for experience in other programming languages.
  • First-hand experience working with bioinformatics tools, databases, and file formats used in sequence analysis.
  • Comfortable with modern development practices - version control, unit testing, CI/CD, and code reviews.
  • Hands-on experience with Linux/Unix and cloud infrastructure (AWS, Docker, Kubernetes, etc.).
  • Thrive in a fast-moving startup - you know when to prototype quickly and when to build production-grade systems.

Location, Compensation, and Benefits:

  • Location: Hybrid role, 2 days a week onsite at our San Francisco, CA office (near Montgomery BART). Occasional travel required for team meetings.
  • Compensation: Annual base salary range of $130,000 - $160,000, based on experience.
San Francisco Bay Area pay range
$130,000—$160,000 USD

Benefits:

  • Comprehensive healthcare coverage (Health, Dental, and Vision)
  • 401K
  • Unlimited PTO
  • Professional development opportunities
  • Company-sponsored off-sites and team meals during in-person meetings
  • Direct access to company leadership and the opportunity for career growth

Diversity, Inclusion, and Equal Opportunity:
MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

Why Work at MyOme?
Join us if you:

  • Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level
  • Enjoy rolling up your sleeves, taking initiative, and being empowered to lead
  • Value humility, transparency, and collaborative problem-solving
  • Thrive in fast-moving, dynamic environments with smart, driven teammates
  • Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com


MyOme logo

About MyOme

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017