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Biotech Data Analyst Jobs in California (NOW HIRING)

Strong knowledge of GCP and data privacy protection in medical device and biotechnology contexts. * Strong analytical and statistical skills * Advanced proficiency in database platform and analytical ...

Strong knowledge of GCP and data privacy protection in medical device and biotechnology contexts. * Strong analytical and statistical skills * Advanced proficiency in database platform and analytical ...

... biotech and pharma to tackle the world's biggest health challenges.Imagine being part of a team ... Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D ...

Quality Control In-Process Analyst

Tustin, CA · On-site

$25.25 - $33.75/hr

Analyze test data, document results, and prepare reports with a high degree of accuracy. * Conduct ... biotechnology, pharmaceutical, or GMP-regulated laboratory setting. * Must have experience with ...

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Biotech Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do biotech data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for biotech data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

What are the most commonly searched types of Biotech Data Analyst jobs in California?

The most popular types of Biotech Data Analyst jobs in California are:

What are popular job titles related to Biotech Data Analyst jobs in California?

For Biotech Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Biotech Data Analyst jobs in California look for?

The top searched job categories for Biotech Data Analyst jobs in California are:

What cities in California are hiring for Biotech Data Analyst jobs?

Cities in California with the most Biotech Data Analyst job openings:

Infographic showing various Biotech Data Analyst job openings in California as of August 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

88-50100571 Analytical Data Scientist

F. Hoffmann-La Roche AG

San Jose, CA • On-site

$142K - $197K/yr

Full-time

Re-posted 1 hour ago


Job description

The Position
Genentech, Inc. seeks an Analytical Data Scientist at its South San Francisco, California location.
Duties: Within global biotechnology organization, conduct statistical programming and analyses to support the company's Product Development Data (PDD) Sciences used for pharmaceutical and biotech drug development. Lead statistical programming teams in planning, designing, and implementing statistical software solutions for clinical trial reporting and analysis. Assess, clarify and make statistical recommendations on study requirements, develop statistical programming strategies, and ensure efficient implementation as the Study Lead. Develop data science strategies to meet study and project requirements; manage output specifications and output risk assessments; and specify, review, and implement analysis datasets. Identify and assign deliverables for clinical study team members in support of across molecule programs. Conduct statistical programming and analytics as a component of clinical projects. Communicate with stakeholders from different scientific backgrounds and areas of expertise to negotiate timelines and scope of deliverables. Develop and validate datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs) through adherence to risk assessment and quality control guidelines and internal processes. Assist in developing visualizations/dashboards for data exploration using interactive applications and data insights platforms. Document reproducible and accurate outputs and ensure alignment with programming specifications. Resolve technical issues in code or output that cause data discrepancies. Collaborate with global health authorities to support company's product pipeline and build partnerships to collaborate with global affiliates to support products, processes, and systems while ensuring compliance with regulatory and process requirements.
Education and Experience Requirement: Requires a Master's degree in biostatistics, mathematics, data science or closely related field.
Specials Skills Requirement: Must have the following skills from academic studies, research, or industry: 1) Statistical programming knowledge of clinical and biomedical data in product development processes within biopharmaceutical industry, 2) Software development and programming expertise in SAS, SQL, and R, 3) Statistical methodologies in biomedicine such as survival modeling, causal inference, and clinical trials, and 4) Collaborating with stakeholders from different scientific backgrounds on biomedical related research projects. May telecommute up to 3 days per week.
#LI-DNI #DNI #DE-DNI
Worksite: 1 DNA Way, Central Campus, South San Francisco, California 94080.
The expected annual salary range for this position based on the primary location for this position in South Francisco, California is $142,656 to $197,500 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at
(https://roche.ehr.com/default.ashx?CLASSNAME=splash).
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.