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Biotech Data Science Jobs in California (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

This role blends advanced technical skills in Data Science-covering statistics, Modelling, AI/ML-with deep domain expertise in highly regulated Biotech industry. These should be complemented by soft ...

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Biotech Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do biotech data science jobs pay per year?

As of Aug 3, 2026, the average yearly pay for biotech data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

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

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in California? The most popular types of Biotech Data Science jobs in California are:
What are popular job titles related to Biotech Data Science jobs in California? For Biotech Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in California look for? The top searched job categories for Biotech Data Science jobs in California are:
What cities in California are hiring for Biotech Data Science jobs? Cities in California with the most Biotech Data Science job openings:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in California as of July 2026, with employment types broken down into 86% Full Time, 6% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

Fullpower Technologies

Santa Cruz, CA • Remote

$130K - $170K/yr

Full-time

Re-posted 15 days ago

Job description

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes.

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

  • Work with health data and time-series sensor data
  • Connect biomedical sensor data with medical, health, and fitness outcomes
  • Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking
  • Develop visualizations and tools for understanding and annotating data
  • Optimize algorithms for running on embedded devices and in the cloud
  • Design and run experiments and clinical trials
  • Processing, cleaning, and combining different data sources to create new datasets
  • Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions

Software skills:

  • Expertise in Python and packages such as numpy, pandas, scikit-learn
  • Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent
  • Experience working with databases including familiarity with SQL
  • Experience with Amazon Web Services (AWS) or Google Cloud
  • Experience with C++ is a plus

Leadership qualities:

  • Self starter
  • Strong interpersonal and communication skills

Education and Experience:

  • Experience applying data science and machine learning to real-world problems
  • Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent
  • Graduate degree and/or 5+ years experience a plus

Additional Information:

  • Fullpower does not sponsor work visas - must already be authorized to work in the United States
  • The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.
Employment Type: Full-Time

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