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Biomedical Data Analyst Jobs in California (NOW HIRING)

This candidate should also be adept at analyzing user data to infer real-world performance trends ... PhD in Biomedical or Optical Engineering. 2+ years of industry experience in related field. Minimum ...

Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics ...

Ability to read, interpret, and apply a great variety of technical data such as schematic drawings ... analyzers, patient simulator, storage oscilloscopes, manometers, tachometers, etc. * Possess the ...

Ability to read, interpret, and apply a great variety of technical data such as schematic drawings ... analyzers, patient simulator, storage oscilloscopes, manometers, tachometers, etc. * Possess the ...

Ability to read, interpret, and apply a great variety of technical data such as schematic drawings ... analyzers, patient simulator, storage oscilloscopes, manometers, tachometers, etc. * Possess the ...

This Principal Biomedical Engineer will partner cross functionally to highlight insights from real ... Applies data analysis and statistical methodologies to generate insights on sensor performance ...

Showing results 41-60

Biomedical Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do biomedical data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biomedical 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 is a biomedical data analyst?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the typical daily responsibilities of a biomedical data analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What are the key skills and qualifications needed to thrive as a biomedical data analyst?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

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

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

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

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

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

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

Infographic showing various Biomedical Data Analyst 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 $81,558 per year, or $39.2 per hour.

Principal Statistical Methodology Data Scientist

F. Hoffmann-La Roche AG

South San Francisco, CA • On-site

$185 - $344/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

The Position

The Statistical Methodology Data Scientists play a strategic role in enabling the adoption of fit-for-purpose statistical methodologies to drive scientific rigor and decision-making excellence. This team serves as a center of excellence focused on consultation, education, and outreach to ensure that innovative and appropriate methods are applied across programs and portfolios. Statistical Methodology Data Scientists collaborate closely with project teams, biostatisticians, and cross-functional stakeholders to identify methodological needs, prototype solutions (e.g., estimand frameworks, trial simulations, covariate adjustment strategies), and support scalable adoption through training, templates, and open source software/tools. They engage in portfolio-level analyses, scenario modeling, and quantitative frameworks that inform go/no-go decisions and optimize clinical strategy. The team also maintains key external relationships, representing the company in consortia, scientific working groups, and regulatory collaborations to stay at the forefront of methodological advances in the pharmaceutical industry.

The Opportunity

As a Principal Statistical Methodology Data Scientist you will:

  • You serve as a methodological thought partner to study teams, providing expert guidance on complex design and analysis across programs
  • You lead the development and institutionalization of methodologies that improve decision-making at trial and portfolio levels (e.g., quantitative go/no-go criteria, simulation frameworks, model-based projections)
  • You shape cross-functional understanding of innovative statistical methods through consultation, publications, and leadership of education efforts
  • You anticipate regulatory trends and industry shifts, integrating relevant methodologies into internal practices and guiding external engagements
  • You act as a connector across teams, surfacing recurring challenges and co-creating scalable solutions to elevate analytical excellence in the organization
  • You drive external collaboration through active participation in consortia, joint working groups, or regulatory-facing initiatives
  • You mentor junior staff and influence the strategic direction of Statistical Methodology through thought leadership, vision-setting, and capability building
Who you are

You hold a PhD in Biostatistics, Statistics, Data Science, Computer Science, or a related quantitative discipline

  • You have 6+ years of experience designing and applying advanced analytics to complex biomedical data in clinical trial research
  • You bring deep expertise in statistical computing and advanced modeling, with a track record of developing novel or custom analytical solutions
  • You are recognized as a technical expert and thought partner within the organization or broader field
  • You have experience mentoring others and contributing to internal standards, strategy, or capability development
  • You show respect for cultural differences when interacting with colleagues in the global workplace
Preferred
  • Experience developing novel or fit-for-purpose analytical methods for different types of datasets
  • Demonstrated leadership in designing scalable workflows or frameworks adopted across multiple projects or teams
  • Track record of influencing portfolio- or program-level decisions through rigorous analytical insights
  • Publications, presentations, or internal white papers that showcase innovative analytical thinking
  • Thought leadership in emerging data science areas relevant to pharmaceutical development (e.g., AI/ML in translational research, real-world data integration, predictive biomarkers)
Relocations

Benefits are not available for this job posting.

Benefits

The expected salary range for this position based on the primary location of California is $185,200 - $343,900. Actual pay 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 the link provided below.

Benefits #PDD

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.

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.

Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life‑threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours.

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