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Bioinformatics Data Analyst 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.

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

We have developed industry-leading software tools for analysis and reporting of biological data. We ... As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ...

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How much do bioinformatics data analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for bioinformatics data analyst in California is $45.22, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $48.41 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

What are popular job titles related to Bioinformatics Data Analyst jobs in California?

For Bioinformatics Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in California look for?

The top searched job categories for Bioinformatics Data Analyst jobs in California are:

What cities in California are hiring for Bioinformatics Data Analyst jobs?

Cities in California with the most Bioinformatics Data Analyst job openings:

Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in California as of August 2026, with employment types broken down into 71% Full Time, 8% Part Time, 4% Temporary, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $94,060 per year, or $45.2 per hour.

Bioinformatics Engineer

AccuScan Sciences

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

As a Bioinformatics Engineer at AccuScan Sciences, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly impact innovative scientific discoveries and product development. You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities forward.

Responsibilities:

  • Design, implement, and develop tests and documentation for established robust bioinformatics pipelines.
  • Optimize computational workflows for high-performance execution and reproducible data analysis.
  • Maintain, monitor, and improve pipeline automation to ensure smooth operational workflows.
  • Manage GitHub repositories, oversee version control, and streamline the software release process.
  • Develop and manage infrastructure on AWS to ensure scalability, reliability, and efficiency.
  • Collaborate with cross-functional teams to integrate bioinformatics solutions.
  • Proactively identify opportunities to enhance infrastructure efficiency and security.

Requirements

Qualifications:

    • Bachelor's degree or higher in Bioinformatics, Computational Biology, Computer Science, or a related field. with at least 3+ years of working experience out of college.
    • Experience with bioinformatics workflow development and optimization, particularly using Nextflow.
    • Experience developing software following best practices, including comprehensive testing and clear documentation.
    • Proficiency in scripting languages (Python, Bash) and familiarity with container technologies (Docker, Kubernetes).
    • Hands-on experience with AWS cloud computing services (EC2, S3, Batch, Lambda).
    • Excellent communication and collaborative skills.

Preferred Qualifications:

  •  Familiarity with CI/CD practices.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)

Apply