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Biotech Data Science Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

MSAT Data Science Engineer

Newark, CA · On-site

$120 - $140/hr

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 ...

Our client, a world leader in life sciences and biotechnology, is looking for a "Image Data Scientist" based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension ...

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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Showing results 1-20

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 24, 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.

What is a biotech data science?

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.

What are the key skills and qualifications needed to thrive in biotech data science, 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 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 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:

Infographic showing various Biotech Data Science job openings in California as of August 2026, with employment types broken down into 67% Full Time, 13% Part Time, 3% Temporary, and 17% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

$130K - $170K/yr

Full-time

Re-posted 6 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