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Computer Science Bioinformatics Jobs in California

LLNL

Bioinformatics Scientist

Livermore, CA · On-site

... Computer Science, Mathematics, or equivalent combination of education and related technical ... operational bioinformatics activities. * Advanced experience in large data management such as ...

Roche

Sr. Manager, Bioinformatics

San Diego, CA · Hybrid

$170K - $316K/yr

D.in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field with 4+ years of industry experience; or a Master's degree in Bioinformatics, Computational Biology ...

Roche

Sr. Manager, Bioinformatics

Santa Clara, CA · Hybrid

$170K - $316K/yr

D.in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field with 4+ years of industry experience; or a Master's degree in Bioinformatics, Computational Biology ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA

$70K - $85K/yr

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Jul 20, 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 AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace bioinformatics professionals. Bioinformatics jobs require expertise in biology, programming, and data interpretation, which AI cannot fully replicate. Instead, AI serves as a complementary skill for bioinformaticians to improve efficiency and discovery.

How is computer science used in bioinformatics?

In bioinformatics, computer science is used to develop algorithms, software, and databases for analyzing biological data such as DNA, RNA, and protein sequences. Bioinformatics professionals often utilize programming languages like Python or R, and tools like machine learning and data mining to interpret complex biological information efficiently.

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 the Computer Science Bioinformatics position, 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 biology jobs pay over $100k?

In bioinformatics and related biology fields, roles such as senior bioinformatics scientist, computational biologist, and data scientist often have salaries exceeding $100,000 annually. These positions typically require advanced skills in programming, data analysis, and knowledge of biological data, often with a master's or Ph.D. degree. Experience, industry sector, and geographic location can influence salary levels.

What is a Computer Science Bioinformatics job?

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 jobs can I get with bioinformatics?

With a background in bioinformatics, common jobs include bioinformatics analyst, computational biologist, research scientist, and data analyst in healthcare, pharmaceuticals, or biotech companies. These roles often require skills in programming, data analysis, and knowledge of biological data, and may involve working with tools like R, Python, or specialized bioinformatics software.
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
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID

AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID

Genentech, Inc.

South San Francisco, CA • On-site

$147K - $274K/yr

Full-time

Posted 29 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
Biological Research | AI Development (BRAID) is a team within AI Biology & Translation (AIBT) focused on developing state-of-the-art AI methods to solve key challenges in disease biology, target discovery, and translational research. We are seeking a Scientist/Senior Scientist with a strong foundation in computational, statistical, and data science, and a passion for translating technical advances into biological and clinical impact. You will develop and define the specifics of modeling applications that empower our clinical trials. This role requires a deep understanding of how a model can fit into Genentech's drug development lifecycle-including identifying users, determining data availability timelines, and understanding how decisions are made. You will work alongside clinical and translational research colleagues to ensure models directly improve their decision-making processes.
In this role, you will:
  • Build New AI Models: Develop innovative models to enhance insights from outcome data and design interpretable ML frameworks.
  • Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers.
  • Master the Data: Integrate messy, heterogeneous data from internal and public cohorts into a unified, generalizable modeling framework.
  • Influence Trial Design: Identify necessary data collection requirements for future trial designs to ensure modeling success.
  • Deploy and Educate: Share and deploy these models with other computational users and clinical stakeholders to drive impact.

Who you are
  • Education: Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.
  • AI/ML Expertise: Proven experience building machine learning and AI models from scratch.
  • Biological Data Proficiency: Hands-on experience working with "messy" genomics data (e.g., aggregating dozens or hundreds of studies) and/or clinical datasets.
  • Modern Engineering: Ability to effectively use agentic coding tools to improve the quality and quantity of code and modeling outputs.

For an AI Scientist
  • Education: Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field
  • AI/ML Expertise: Proven experience building machine learning and AI models from scratch.
  • Biological Data Proficiency: Hands-on experience working with "messy" genomics data (e.g., aggregating dozens or hundreds of studies) and/or clinical datasets.
  • Modern Engineering: Ability to effectively use agentic coding tools to improve the quality and quantity of code and modeling outputs.

For a Senior AI Scientist
  • Education: Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field + 2 years of experience building ML models and/or interpreting models for target discovery, biomarker discovery, or clinical decision making
  • AI/ML Expertise: Proven experience building machine learning and AI models from scratch. Expertise within an area of modern machine learning research, such as graph/diffusion/transformer models, reinforcement learning, or multimodal representation learning.
  • Biological Data Proficiency: Hands-on experience working with "messy" genomics data (e.g., aggregating dozens or hundreds of studies) and/or clinical datasets.
  • Modern Engineering: Ability to effectively use agentic coding tools to improve the quality and quantity of code and modeling outputs.

Relocation benefits are NOT available for this job posting.
The expected salary range for this position, based on the location of California, for the AI Scientist is $127,500 - 236,900, and for the Senior AI Scientist is $147,800 - $274,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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