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Clinical Data Science Jobs in California (NOW HIRING)

Senior Data Scientist

Palo Alto, CA ยท On-site

$160K - $190K/yr

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Senior Data Scientist

Palo Alto, CA ยท On-site

$160K - $190K/yr

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Senior Data Scientist

Palo Alto, CA ยท On-site

$120 - $180/hr

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Showing results 41-60

Clinical Data Science information

See California salary details

$19

$56

$80

How much do clinical data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for clinical data science in California is $56.42, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $67.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, often supported by a degree in biostatistics, computer science, or a related field. Familiarity with programming languages like Python or R, clinical trial data management systems, and knowledge of regulatory requirements such as GCP and CDISC standards are essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and research teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and valuable insights that drive evidence-based healthcare decisions.

What are the typical collaborative interactions between clinical data scientists and other departments in a healthcare or pharmaceutical organization?

Clinical Data Scientists regularly collaborate with clinical research associates, statisticians, data managers, and regulatory affairs teams. These interactions are essential for ensuring high-quality data collection, analysis, and interpretation throughout clinical trials. You may participate in cross-functional meetings, contribute to protocol development, and help design data management strategies that comply with regulatory standards. Effective communication and teamwork are important skills, as much of the role involves translating technical findings into actionable insights for non-technical stakeholders.

What is clinical data science?

Clinical data science is a field that focuses on collecting, analyzing, and interpreting data from clinical trials and healthcare settings to improve patient outcomes and advance medical research. Professionals in this area use statistical methods, programming, and domain knowledge to ensure the quality and integrity of clinical data. Their work supports evidence-based decision-making in medicine and helps bring new therapies to market safely and efficiently.

What is the difference between Clinical Data Science vs Data Analyst?

AspectClinical Data ScienceData Analyst
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentHealthcare settings, research institutions, pharmaceutical companiesBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in clinical trials, healthcare research, drug developmentUsed across various industries for business insights and reporting

Clinical Data Science focuses on analyzing healthcare and clinical trial data to support medical research and drug development, often requiring specialized healthcare knowledge. Data Analysts handle a broader range of data analysis tasks across industries, emphasizing business insights. While both roles involve data manipulation and statistical skills, Clinical Data Scientists typically work within healthcare settings on complex clinical data, whereas Data Analysts serve diverse sectors with general data reporting needs.

What are popular job titles related to Clinical Data Science jobs in California? For Clinical Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Clinical Data Science jobs in California look for? The top searched job categories for Clinical Data Science jobs in California are:
What cities in California are hiring for Clinical Data Science jobs? Cities in California with the most Clinical Data Science job openings:
Infographic showing various Clinical Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,352 per year, or $56.4 per hour.

Senior Clinical Data Manager

Revolution Medicines

Redwood City, CA โ€ข Hybrid

Full-time

Re-posted 12 days ago


Job description

The Opportunity:

The Senior Clinical Data Manager is responsible for all aspects of the data management process from the development of project documentation, system set-up, User Acceptance Testing (UAT), routine data review through database lock of clinical trials.ย  The Sr/CDM has a broad, fundamental knowledge of the data management process and can plan, manage and coordinate all Data Management activities for assigned study(ies) with minimal guidance. This person may have project level oversight of junior data managers and/or Clinical Data Associates (CDAs).ย  The core duties and responsibilities of the Sr/CDM are delineated below.

Specifically, you will be responsible for:

  • Represents data management in study team meetings, able to facilitate and provide data management updates and/or input when appropriate.

  • Manages data management timelines to coordinate and synchronize deliverables with the overall study timelines.

  • Generates and/or reviews/approves study documents (e.g. Data Management Plans, Case Report Forms, DB build specifications, data transfer specifications, SAE and/or external data reconciliation plans, coding conventions, laboratory data handling plan, study protocols).

  • Reviews protocols for appropriate data capture including electronic Case Report Form (eCRF) design and external data vendors' systems.

  • Provides oversight of database set-up/migrations/updates including coordinating and performing UAT.

  • Leads the development of internal Data Review Plan and coordinates cross functional team data listing review.

  • Coordinates the internal medical coding review.

  • Performs ad hoc and scheduled data listing review and generates/resolves queries in EDC.

  • Performs external data reconciliation against EDC.

  • Performs Serious AE reconciliation according to SOPs and guidelines, as applicable.

  • Executes and/or distributes data management metrics, listings, and reports.

  • Provides oversight of data management CRO/service providers including manages and monitors the progress of data management activities with CROs and/or other service providers on assigned studies; build effective relationships with CRO/service provider counterparts.

  • Reviews and provides feedback to the clinical team on other study documents e.g., Clinical Monitoring plans and vendor specifications.

  • Provides training on the EDC system and/or CRF completion guidelines and EDC system to internal or external study team members, as needed.

  • Proactively identifies potential study issues/risks and recommends/implements solutions.

  • Maintains study DM related documents/files for inspection readiness.

  • Provides DM support to Statisticians and Statistical Programmers in production of clinical trial reports and other deliverables.

  • Assists with the training of new employees and/or contractors (e.g., clinical data associates and/or junior clinical data managers working on the studies).

  • Participates in CRO/vendor selection process for outsourced activities.

  • Supports budget and resource planning across assigned projects.

  • Participates in the development, review and implementation of departmental SOPs, templates, and processes.

  • Participates in department or cross-functional initiatives (as needed).

  • Contributes to a professional working environment through exemplifying RevMed Core Values.

Required Skills, Experience and Education:

  • Bachelor's degree in health sciences, Life Sciences, Mathematics, Computer Sciences, or health-related field.

  • At least three years for CDM and five years for Sr. CDM of Data Management experience in the pharmaceutical or biotechnology industry, depth and exposure to DM related tasks considered in lieu of minimum requirement.

  • Requires solid knowledge of clinical data management principles, clinical trials process and regulatory requirements.

  • Good working knowledge of ICH, FDA, and GCP regulations and guidelines.

  • Strong well-rounded technical skills (EDC systems, MS Word, Excel, PowerPoint).

  • Knowledge of industry standards (CDISC, SDTM, CDASH).

  • Experience with web-based Electronic Data Capture (EDC), clinical data management systems and industry wide thesauri, such as MedDRA and WHO Drug.

  • Excellent verbal/written and interpersonal skills required for working successfully in a cross-functional team environment.

  • Ability to handle multiple projects and prioritize effectively, well organized and detail oriented.

  • Proven ability to work both independently and in a team setting.

Preferred experience, skills and education:ย 

  • CRO/Service provider management experience.

  • Prior oncology/solid tumor experience highly desired.

  • Working knowledge of statistical programming packages (e.g. SAS) is a plus.

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