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Bioinformatics Machine Learning Jobs in California

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

Preferred : • Experience using or interfacing with machine learning algorithms. • Experience ... and bioinformatics innovation. Company : GATC Health uses AI to speed drug discovery, predict ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into ... Previous experience in data extraction and curation from bioinformatics data sources * Familiarity ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. Why Join Us: * Opportunity to work at the ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us: • ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us:

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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 Aug 22, 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Bioinformatics Analyst - CA

GATC Health

Irvine, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence. They are seeking a talented Bioinformatics Analyst to implement and aid in the design and analysis of software and informatics pipelines for various data analyses to support pharmaceutical asset development.
Responsibilities:
• Prep and Process data through GATC platform based on customer or internal end user requirements.
• Implement primary and secondary analysis tools for GATC’s assays.
• Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
• Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
• Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Qualifications:
Required:
• Degree in computational biology, bioinformatics, computer science or similar.
• Experience analyzing complex multi-omic datasets, including human or single cell data.
• Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
• Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
• Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
• Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Preferred:
• Experience using or interfacing with machine learning algorithms.
• Experience analyzing and interpreting large-scale human or single cell datasets.
• Experience with professional software development methods and tools in a team environment.
• Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
• Experience working with collaborators, including lab scientists on multi-omic method development.
• Experience visualizing scientific datasets and results.
• Experience using cloud computing environments.
• Computational biology and bioinformatics innovation.
Company:
GATC Health uses AI to speed drug discovery, predict outcomes, and support research with data-driven healthcare insights. Founded in 2020, the company is headquartered in Irvine, USA, with a team of 11-50 employees. The company is currently Early Stage.

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