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Genomic Data Science Jobs in California (NOW HIRING)

Redfish Recruiting

AI/ML Scientist

Berkeley, CA · On-site

... high-dimensional genomic data. You will design, optimize, and deploy large language models to ... What you should know or have: -PhD, MS, or BS in Computer Science, Machine Learning, or related ...

Hologic, Inc.

Principal Bioinformatician

San Diego, CA · On-site

$129.70 - $216.20/hr

Data Science & Bioinformatics * Build and maintain scalable pipelines for genomic data processing, annotation, and analysis. * Integrate public and proprietary datasets to inform assay design and ...

Novartis

Senior Expert I, Data Science

San Diego, CA

$126K - $234K/yr

The Oncology Data Science group within Biomedical Research supports the Oncology Disease Area with ... Lead profiling strategies and analysis of high-throughput genomic and phenotypic screening data to ...

Guardant Health, Inc.

Staff Business Analyst

Palo Alto, CA · On-site

$142.30 - $195.70/hr

Bachelor's or advanced degree in Life Sciences, Bioinformatics, Genomics, Health Informatics, or a related scientific discipline. * Expert‑level written and verbal communication, documenting data ...

Guardant Health

Staff Product Analyst

Palo Alto, CA · On-site

Bachelor's or advanced degree in Life Sciences, Bioinformatics, Genomics, Health Informatics, or a related scientific discipline. * Expert-level written and verbal communication, documenting data ...

Guardant Health

Staff Product Analyst

Palo Alto, CA · On-site

Bachelor's or advanced degree in Life Sciences, Bioinformatics, Genomics, Health Informatics, or a related scientific discipline. * Expert-level written and verbal communication, documenting data ...

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All JobsGenomic Data Science JobsGenomic Data Science Jobs in California

Genomic Data Science information

See California salary details

$16

$56

$80

How much do genomic data science jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for genomic data science in California is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.44 per hour, depending on experience, location, and employer.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as a genomic data scientist, and why are they important?

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

What are popular job titles related to Genomic Data Science jobs in California?

For Genomic Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Genomic Data Science jobs in California look for?

The top searched job categories for Genomic Data Science jobs in California are:

Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,623 per year, or $56.1 per hour.

AI/ML Scientist

Redfish Recruiting

Berkeley, CA • On-site

Full-time

Re-posted 22 days ago

Job description

The Role:
Our Client is seeking an innovative AI/ML engineer to develop foundation models for analyzing high-dimensional genomic data. You will design, optimize, and deploy large language models to extract insights from uniquely generated datasets, which are large and unique to their high-throughput platform. No prior background in biology or genomics is required. But you should be excited to reveal human biology at unprecedented resolution using AI.
What you will be working on:
-Expand platform capabilities by developing new machine learning algorithms.
-Identify and source diverse training data for foundation model development.
-Design training data generation and simulation algorithms to enhance datasets.
-Increase performance, accuracy, and scalability of our platform.
-Mine latent space representations for novel insights and ontological frameworks.
-Establish validation frameworks and benchmarks.
-Train, validate, and fine-tune models for real-world applications.
-Collaborate with bioinformaticians, data scientists, and engineers.
-Stay at the cutting edge of AI/ML advancements.
What you should know or have:
-PhD, MS, or BS in Computer Science, Machine Learning, or related field.
-Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
-Strong understanding of large language models and deep learning.
-Creative problem-solving and ability to work in multidisciplinary teams.
The Opportunity:
Our Client is introducing single-cell and spatial sequencing solutions for clinical applications. They're revealing a new layer of biological information that enables earlier, more precise insights and drives longer, healthier lives. Their products combine genomic measurements with AI-generated biology in end-to-end data pipelines that redefine what's measurable at scale.
They're a small, well-funded, mission-driven team of molecular and cell biologists, software and automation engineers, mathematicians, computer scientists, and business professionals, all building at the convergence of computation and biology. With them, you'll do foundational work, chase ambitious ideas, and deliver products that directly impact health. You'll also get access to a cutting-edge tech stack and proprietary datasets that uncover the most interesting cells in the human body at scale.

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