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Biology Computer Science Jobs in California (NOW HIRING)

Abbott

Sr. AI/ML Engineer - Life Science

San Diego, CA

$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 ...

Abbott

Sr. AI/ML Engineer - Life Science

San Diego, CA

$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 ...

Abbott

Sr. AI/ML Engineer - Life Science

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 ...

Abbott

Sr. AI/ML 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 ...

Abbott

Sr. AI/ML 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 ...

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA

$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 ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

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 ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

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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All JobsBiology Computer Science JobsBiology Computer Science Jobs in California

Biology Computer Science information

See California salary details

$24.2K

$47.8K

$78K

How much do biology computer science jobs pay per year?

As of Aug 14, 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 biology computer science?

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 can you do with biology and computer science?

A job in biology and computer science often involves bioinformatics, computational biology, or data analysis, where skills in programming, algorithms, and biological data interpretation are essential. Professionals can work in research, healthcare, pharmaceuticals, or environmental science, utilizing tools like Python, R, and specialized databases to analyze biological data and develop solutions.

What is a biology computer science?

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:

Biology Computer Science jobs near you
Infographic showing various Biology Computer Science job openings in California as of August 2026, with employment types broken down into 56% Full Time, 17% Part Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,757 per year, or $23 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 22 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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