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Biology Computer Science Jobs in California (NOW HIRING)

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master's Degree in Statistics, Computational Biology, Computer ...

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master's Degree in Statistics, Computational Biology, Computer ...

Sr. AI Engineer - Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master's degree in Statistics, Computational Biology, Computer ...

Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master's Degree in Statistics, Computational Biology, Computer ...

Sr. AI Engineer - Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master's degree in Statistics, Computational Biology, Computer ...

Bachelor's, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field * Experience analyzing and interpreting single-cell or multi-omics ...

Bachelor's, Master's, or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related technical field * Experience analyzing and interpreting single-cell or multi-omics ...

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How much do biology computer science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for biology computer science in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What types of projects do professionals in Biology Computer Science typically work on?

Professionals in Biology Computer Science often work on projects involving the analysis of large biological datasets, such as genome sequencing, protein structure prediction, or population genetics studies. They may develop algorithms, create data visualization tools, or collaborate with laboratory researchers to interpret results. Day-to-day work often involves coding, statistical analysis, and frequent interdisciplinary meetings with biologists, bioinformaticians, and IT specialists. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and continually expand technical skills, making the field both intellectually rewarding and dynamic.

What are the key skills and qualifications needed to thrive in the Biology Computer Science position, and why are they important?

To thrive in a Biology Computer Science role, you need a strong background in both biological sciences and computer science, often supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages (such as Python or R), data analysis software, and biological databases is essential, and specialized certifications in bioinformatics can be advantageous. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex biological data into actionable insights. These capabilities enable success by bridging the gap between computational analysis and biological research, driving innovation in life sciences.

What is a Biology Computer Science job?

A Biology Computer Science job integrates principles of biology and computational techniques to analyze biological data, develop bioinformatics tools, and solve complex biological problems. Professionals in this field may work in genomics, drug discovery, systems biology, or healthcare technology. They utilize programming, machine learning, and data analysis to interpret biological processes. Common roles include bioinformaticians, computational biologists, and biotech software developers. This interdisciplinary field is crucial for advancements in medicine, agriculture, and environmental science.

What are popular job titles related to Biology Computer Science jobs in California? For Biology Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Biology Computer Science jobs in California look for? The top searched job categories for Biology Computer Science jobs in California are:
What cities in California are hiring for Biology Computer Science jobs? Cities in California with the most Biology Computer Science job openings:
Staff Bioinformatics / Machine Learning Scientist

Staff Bioinformatics / Machine Learning Scientist

Exact Sciences

La Jolla, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories


Job description

Help us change lives
At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.
Position Overview
Staff Bioinformatics and Machine Learning Scientist will lead the development and application of machine learning, statistical modeling, and bioinformatics for next-generation sequencing-based products. This individual will serve as a senior technical leader within Research and Development, working cross-functionally with bioinformatics, assay development, data engineering, software development, quality and product development teams.
The ideal candidate has deep experience analyzing large and complex biological datasets in an industry setting and has demonstrated successful development, validation and deployment of algorithms, statistical and machine learning models using principled and reproducible methodology.
This is a senior individual contributor role requiring strong scientific and technical leadership, and the ability to translate complex genomic data into insights and products.
Essential Duties
Include, but are not limited to, the following:
  • Lead the development, evaluation and optimization of machine learning and statistical models for high-dimensional NGS and genomics datasets.
  • Design and implement bioinformatics algorithms to support NGS assay development, analytical performance evaluation, quality control, signal detection, classification, or interpretation.
  • Collaborate with wet-lab scientists to design experiments, interpret results, identify technical issues, and recommend next steps.
  • Apply rigorous statistical and computational methods to evaluate assay performance, reproducibility, robustness, sensitivity, specificity, and sources of technical or biological variation.
  • Develop reproducible analysis workflows using modern bioinformatics, data science, and software engineering practices.
  • Work within cloud computing environments to process, analyze, and manage large-scale sequencing datasets.
  • Present and summarize complex technical findings effectively to cross-functional audiences.
  • Serve as subject matter expert for NGS bioinformatics, machine learning and statistical analysis.
  • Identify opportunities and build out proof of concept implementations for new state-of-the-art methodology across machine learning, bioinformatics and software engineering
  • Provide guidance and mentorship to junior team members.
  • Support development activities within a quality-managed or regulated environment.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to work on a computer and phone simultaneously.
  • Ability to travel 10% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
  • 8+ years of industry or academia experience in bioinformatics.
  • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Demonstrated experience in developing statistical and quantitative methods.
  • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
  • Demonstrated expertise in product/assay research, design, or development.
  • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications
  • 10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Deep expertise in NGS bioinformatics and genomic data analysis.
  • Practical experience effectively leveraging AI in regulated environments
  • Experience with modern cloud-based MLOps systems
  • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine learning techniques.
  • Familiarity with applying deep learning to high dimensional data.
  • Previous experience as a project lead for a team of scientists.
  • 2+ years of direct people leadership and management experience.
  • Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.
  • Previous industry experience in product development or technical support.
  • Previous experience working in molecular diagnostics.

#LI-CB1
Salary Range:
California Ranges: $154,400.00 - $231,600.00
The annual base salary shown is for this position located in US - CA - La Jolla on a full-time basis. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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