ZipRecruiter

Log In

1

Bioinformatics Machine Learning Jobs in California

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

Apply advanced machine learning, Bayesian statistics, and predictive modeling techniques to identify biologically meaningful patterns and biomarkers * Design and execute end-to-end analytical ...

Apple

Machine Learning Engineer - Health AIML

Cupertino, CA · On-site

$216K - $324K/yr

D. in Computer Science, Machine Learning, Bioinformatics, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ...

previous pagenext page

Showing results 21-40

All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Jobs in California

Bioinformatics Machine Learning information

See California salary details

$58.7K

$93.2K

$147.5K

How much do bioinformatics machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for bioinformatics machine learning in California is $93,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a bioinformatics machine learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

What are the key skills and qualifications needed to thrive in the bioinformatics machine learning position, and why are they important?

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

Do bioinformatics machine learning professionals make a lot of money?

Bioinformatics machine learning professionals often earn competitive salaries due to the specialized skills in data analysis, programming, and biological sciences. Salaries vary based on experience, education, and location, but professionals in this field typically have higher earning potential compared to many other biotech roles. Advanced knowledge of tools like Python, R, and machine learning frameworks can also influence compensation levels.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in California?

The most popular types of Bioinformatics Machine Learning jobs in California are:

What are popular job titles related to Bioinformatics Machine Learning jobs in California?

For Bioinformatics Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning jobs in California look for?

The top searched job categories for Bioinformatics Machine Learning jobs in California are:

What cities in California are hiring for Bioinformatics Machine Learning jobs?

Cities in California with the most Bioinformatics Machine Learning job openings:

Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Senior Scientist, Bioinformatics

Monrovia, CA • On-site

ChromoLogic
Retail • 11 - 50 employees
Learn more about ChromoLogicexternal

$90K - $120K/yr

Full-time

Re-posted 22 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 Do Scientific 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 meaningfulyour 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.