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Bioinformatics Data Engineer Jobs in California (NOW HIRING)

The Oncology Data Science group within Biomedical Research supports the Oncology Disease Area with ... Proficiency in one or more programming languages for bioinformatics applications (e.g., Python, R ...

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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 are popular job titles related to Bioinformatics Data Engineer jobs in California? For Bioinformatics Data Engineer jobs in California, the most frequently searched job titles are:
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 85% Full Time, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Bioinformatics Data Scientist II

Bioinformatics Data Scientist II

Heluna Health

Richmond, CA

$91K - $117K/yr

Full-time

Posted 28 days ago


Job description

The Infectious Disease Laboratory Division (IDLD) is currently seeking a highly motivated Bioinformatics Data Scientist II to join the Genomics Center group. In this role, you will work collaboratively and cross-functionally with colleagues to execute Next-Generation Sequencing (NGS) workflows that support the surveillance, diagnostics, and research efforts of the California Department of Public Health. We are seeking new group members to contribute to the development and implementation of computational workflows for DNA sequencing. The position will collaborate with several multidisciplinary CDPH teams and other internal and external partners to contribute to CDPH infectious disease research and surveillance. The ideal candidate should have a broad computational background, an understanding of molecular and cellular biology, and expertise with sequencing platforms such as Illumina and Oxford Nanopore. The position is in Richmond, CA.   

Must submit a resume with application.

The salary range for this position is $91,500 -$117,588 annually depending on experience/qualifications. 

Must be able to work flexible hours that may include weekends and holidays.

If hired for this position, applicant will be required to provide proof of full vaccinated for COVID-19 prior to the start date; or have a valid religious or medical reason qualifying the applicant for an exemption (that may or may not require accommodation). The applicant will need to have the qualifying exemption.

ESSENTIAL FUNCTIONS

  • Assist in the development, management, and maintenance of large-scale genomic databases used to manage workflows used for infectious disease research and surveillance.
  • Critically analyze genomic data to support public health surveillance and infectious disease outbreak investigations using conventional and innovative analysis tools.
  • Work with internal and external collaborators, including local public health laboratories and collaborating sequencing laboratories.
  • Develop innovative solutions for the interoperability of data systems among federal, state, and local health departments, commercial and governmental laboratories, hospitals and medical providers, academic partners, and other public health entities.
  • Collaborate with CDPH response teams, including COVID-19 whole genome sequence teams, surveillance/epidemiology, outbreak investigations, contact tracing, policy makers, information technology, and leadership, to enhance and/or obtain systems for storing, analyzing, reporting, and sharing related data.
  • Conceptualize, coordinate, and produce internal reports and public-facing materials (e.g., tables and visualizations) that describe/interpret epidemiologic analysis that influence prevention policy.
  • Present at meetings and scientific conferences, if applicable.
  • Participate in conference calls with key stakeholders at CDPH, local health jurisdictions (LHJs), CDC, and academic partners.
  • Perform other duties as directed by CDPH Leadership.
  • Collaborate effectively with team members.
  • Maintain flexibility to work onsite as needed to meet IDLD demands and team collaboration requirements.

NON-ESSENTIAL FUNCTIONS

  • Perform other duties as assigned.

JOB QUALIFICATIONS

  • Experience with Next-Generation Sequencing technologies and sequence analysis tools.
  • Ability to code in Python, R, SQL, or similar programming languages with a focus on clarity, security, deployment, and future maintainability.
  • Familiarity with shell scripting and command line usage in Linux environments.
  • Able to present complex results, both verbally and in writing, to computational and non-computational audiences.
  • Knowledge of fundamentals and principles of epidemiology, biostatistics, and public health.
  • High-level analytical and problem-solving skills.
  • Demonstrated ability to effectively communicate orally and in writing with public health and healthcare professionals as well as internal partners.
  • Knowledge and application of security and confidentiality requirements for reportable disease/public health surveillance data and protection of public health information.
  • Ability to prioritize and manage multiple tasks and work well independently and with a team.
  • Demonstrate reliability, integrity, and attention to detail.
  • Fluency in spoken and written English is required.

Education/Experience 

  • B.S. or higher degree in Bioinformatics or a related field, such as Data Science, statistics, or computer science.
  • B.S. or higher degree in Biology/Virology or a related field with significant bioinformatics experience.
  • Experience working in an NGS core facility is highly desirable.
  • Strong knowledge of epidemiological/biostatistical methods, genetics, and/or bioinformatics, preferred.
  • Expertise in a programming language such as R, Python, SQL, or a similar language is required.
  • Experience in Bioinformatics and Next Generation Sequencing analysis.
  • Excellent written and oral communication skills.
  • Ability to build custom tools when needed.

Certificates/Licenses

  • None

Other Skills, Knowledge, and Abilities

  • Experience with cloud computing and maintenance of cloud-based infrastructure is preferred.
  • Knowledge and/or experience in microbiology, virology, and molecular biology is preferred.
  • Familiar with public genomic databases and resources (NCBI, GISAID, Ensembl, etc.).
  • Knowledge and understanding of elements of data governance.
  • Knowledge of and skilled in the use of Microsoft Office products, including Word, Excel, Outlook, Teams, and PowerPoint.

PHYSICAL DEMANDS

  • Stand: Occasionally
  • Walk: Occasionally
  • Sit: Frequently
  • Handling / Fingering: Frequently
  • Reach Outward: Occasionally
  • Reach Above Shoulder: Occasionally
  • Climb, Crawl, Kneel, Bend: Occasionally
  • Lift / Carry: Occasionally - Up to 30 lbs
  • Push/Pull: Occasionally - Up to 50 lbs
  • See: Constantly
  • Taste/ Smell: Not Applicable

KEY

  • Not Applicable = Not required for essential functions
  • Occasionally = (0 - 2 hrs/day)
  • Frequently = (2 - 5 hrs/day)
  • Constantly = (5+ hrs/day)

WORK ENVIRONMENT

General office and laboratory setting, indoors, temperature-controlled

EEOC STATEMENT

It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.