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Computer Science Bioinformatics Jobs in California

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline * 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical ...

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

Required : • 5-10 years experience of active development • PhD (or Master's degree with 2-5 years industry experience) in Bioinformatics, Computational Biology, Biostatistics, Computer Science or ...

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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for computer science bioinformatics in California is $42.23, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $42.45 per hour, depending on experience, location, and employer.

Is computer science bioinformatics still a good career?

Computer science bioinformatics remains a strong career choice due to ongoing advancements in genomics, personalized medicine, and data analysis. Professionals in this field use programming, statistical skills, and tools like Python and R to analyze biological data, with demand growing in research, healthcare, and biotech industries.

What jobs can I get with computer science bioinformatics?

With a background in computer science bioinformatics, common jobs include bioinformatics analyst, computational biologist, data scientist in healthcare, and research scientist. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like Python, R, and SQL.

What are some typical daily responsibilities for someone working in computer science bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in computer science bioinformatics, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What is a computer science bioinformatics?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What are the most commonly searched types of Computer Science Bioinformatics jobs in California? The most popular types of Computer Science Bioinformatics jobs in California are:
What are popular job titles related to Computer Science Bioinformatics jobs in California? For Computer Science Bioinformatics jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Bioinformatics jobs in California look for? The top searched job categories for Computer Science Bioinformatics jobs in California are:
What cities in California are hiring for Computer Science Bioinformatics jobs? Cities in California with the most Computer Science Bioinformatics job openings:
Computer Science Bioinformatics jobs near you
Infographic showing various Computer Science Bioinformatics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,834 per year, or $42.2 per hour.

Senior Scientist, Bioinformatics

ChromoLogic

Monrovia, CA

$90K - $120K/yr

Full-time

Posted 18 days ago

Job description

Drive the Future of Precision Medicine

ChromoLogic is advancing transformative biomedical technologies through cutting-edge research and development programs focused on nucleic acid biomarkers and next-generation diagnostics. We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the discovery, development, and validation of novel biomarkers for prognostic and precision medicine applications.

This role offers an opportunity to work at the forefront of genomics, machine learning, and translational research. The successful candidate will collaborate closely with multidisciplinary teams of scientists, data analysts, and external partners to transform complex biological data into actionable insights that improve patient outcomes.

ChromoLogic LLC (www.chromologic.com) is a world-class innovation center with advanced scientific research and development in the medical, aerospace and security markets.


What You'll DoScientific Leadership & Innovation
  • Lead bioinformatics efforts supporting the discovery and validation of nucleic acid biomarkers
  • Develop, optimize, and maintain robust computational pipelines for NGS and multi-omics data analysis
  • Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers
  • Design and execute end-to-end analytical strategies, from hypothesis generation and experimental planning through data interpretation and reporting
Cross-Functional Collaboration
  • Partner with molecular biologists, experimental scientists, clinicians, and external collaborators to drive research programs forward
  • Translate complex computational results into clear scientific recommendations and business-relevant insights
  • Contribute to strategic planning and research initiatives across the organization's portfolio
Research Excellence
  • Evaluate emerging bioinformatics methodologies, tools, and technologies to enhance analytical capabilities
  • Ensure scientific rigor, reproducibility, and quality across all computational workflows
  • Author technical reports, peer-reviewed publications, research proposals, standard operating procedures (SOPs), and grant applications
  • Present findings to scientific teams, leadership, collaborators, and industry stakeholders

Required Qualifications
  • Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics, Computer Science, or a related quantitative discipline
  • 2-5+ years of postdoctoral, academic, biotechnology, pharmaceutical, or industry experience
  • Demonstrated expertise in next-generation sequencing (NGS) data analysis and bioinformatics workflow development
  • Strong proficiency in Python, R, or similar programming languages
  • Experience applying machine learning, Bayesian modeling, or advanced statistical methods to biological datasets
  • Proven ability to independently design studies, analyze complex datasets, and derive meaningful scientific conclusions
  • Strong record of collaboration in multidisciplinary research environments
  • Outstanding written, verbal, and presentation communication skills

Why Join Us?
  • Work on mission-critical technologies with real-world impact
  • Collaborate with top-tier scientists and engineers
  • Engage in meaningful, application-driven innovation


What We Offer
  • Competitive salary and benefits package
  • A mission-driven culture where discovery and innovation are at the heart of everything
  • Close collaboration with scientists and leaders shaping breakthrough research
  • A chance to build something meaningful-your systems, your ideas, your leadership
  • Flexible environment, high ownership, and the ability to make an immediate impact

If you're passionate about leveraging computational biology, machine learning, and genomics to solve complex biomedical challenges, we'd love to hear from you.

Employment Type: FULL_TIME

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