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Medical Data Jobs in California (NOW HIRING)

NexHealth

Staff Data Engineer

San Francisco, CA

This work directly supports our mission to become the API for healthcare. With access to a rich and growing corpus of medical data, you will help NexHealth become a leader in data strategy ...

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How much do medical data jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for medical data in California is $36.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $37.98 per hour, depending on experience, location, and employer.

What is a medical data specialist?

Medical data specialists are professionals who manage, analyze, and interpret healthcare-related data to support clinical decision-making, research, and administrative processes. They ensure the accuracy, confidentiality, and security of medical records and information systems. Medical data specialists often work with electronic health records (EHRs), coding systems, and databases to improve patient care and operational efficiency. Their work is essential in hospitals, clinics, research institutions, and health IT companies.

What are the key skills and qualifications needed to thrive as a medical data analyst, and why are they important?

To thrive as a Medical Data Analyst, you need strong analytical skills, a background in statistics or health informatics, and often a relevant degree such as in health information management or data science. Familiarity with data analysis tools like SQL, Python, R, and healthcare-specific systems such as EHRs and HIPAA compliance is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights to stakeholders. These competencies are vital for ensuring accurate analysis, supporting clinical decision-making, and maintaining data security in healthcare environments.

What are some common challenges faced by professionals working in medical data roles, and how can they be addressed?

Professionals in medical data roles often encounter challenges such as ensuring data accuracy, maintaining patient privacy, and keeping up with evolving healthcare regulations. Managing large datasets from multiple sources can also present difficulties with integration and standardization. Staying current with industry best practices, using advanced data management tools, and participating in ongoing training can help address these challenges. Additionally, collaborating closely with clinical teams and IT specialists can streamline workflows and enhance data quality.

What is the difference between Medical Data vs Medical Records Specialist?

AspectMedical DataMedical Records Specialist
CredentialsOften requires certifications in health information management or data analysisTypically requires health information technician certification or medical records training
Work EnvironmentData analysis settings, healthcare IT departments, or research facilitiesHospitals, clinics, or healthcare offices managing patient records
Employer & Industry UsageUsed in healthcare analytics, research, and data management rolesUsed in medical record keeping, documentation, and patient information management

Medical Data focuses on analyzing and managing healthcare information through data analysis, while Medical Records Specialists handle the organization and maintenance of patient records. Both roles are essential in healthcare but differ in their primary functions and work environments.

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

The most popular types of Medical Data jobs in California are:

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

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

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

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

What cities in California are hiring for Medical Data jobs?

Cities in California with the most Medical Data job openings:

Medical Data jobs near you
Infographic showing various Medical Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $76,637 per year, or $36.8 per hour.

Associate Director, Global Commercial & Medical Data Products

Redwood City, CA • Hybrid

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Posted 12 days ago

Job description

The Opportunity

Revolution Medicines Information Sciences & Digital Innovation (ISDI) is seeking an Associate Director, Global Commercial & Medical Data Products to lead the strategy, evolution, and delivery of enterprise Commercial and Medical data products supporting international markets, with an initial focus on Europe and Japan.

Reporting to the Director, Commercial & Medical Data Solutions, this role translates regional Commercial and Medical priorities into scalable product capabilities that support customer engagement, omnichannel execution, analytics, Market Access, Medical Affairs, and commercial operations. Working across business, analytics, engineering, and technology teams, you will shape product roadmaps, recommend investment priorities, and deliver measurable business outcomes.

The role combines product leadership, commercial acumen, and technology expertise to build trusted enterprise data products that improve user experience, accelerate launch readiness, and create reusable global capabilities. You will continuously identify opportunities to leverage AI, intelligent automation, and advanced analytics to simplify workflows and improve commercial decision-making. Key responsibilities include:

  • Lead the product strategy and roadmap for global Commercial and Medical data products supporting Europe, Japan, and future international markets.

  • Partner with Commercial, Medical Affairs, Market Access, Analytics & Insights, Information Systems, and regional affiliates to translate business priorities into scalable product capabilities.

  • Prioritize product investments that improve launch readiness, customer engagement, omnichannel execution, operational efficiency, and business outcomes.

  • Collaborate with domain Product Owners to extend enterprise capabilities across international markets while maintaining global consistency.

  • Ensure enterprise data products meet expectations for governance, quality, interoperability, privacy, lineage, observability, and compliance.

  • Evaluate build, buy, partner, and integration options based on business value, scalability, maintainability, and user outcomes.

  • Identify opportunities to apply AI, intelligent automation, and advanced analytics to improve workflows and commercial decision-making.

  • Partner with Analytics & Insights, Data Science, and Engineering to prototype and deliver intelligent product capabilities.

  • Measure success through adoption, business outcomes, user satisfaction, and continuous product improvement.

  • Build trusted relationships with regional business leaders and technology partners to support ongoing global expansion.

Required Skills, Experience and Education:

  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Life Sciences, Analytics, or related discipline.

  • 10+ years of experience in Product Management, Commercial Data Products, Commercial Technology, CRM, Omnichannel, Commercial Analytics, or related disciplines within biotechnology, pharmaceutical, healthcare technology, or another regulated industry.

  • Demonstrated success defining product strategy, developing roadmaps, and delivering measurable business outcomes.

  • Experience supporting Commercial and/or Medical Affairs organizations.

  • Strong understanding of enterprise data products, governance, interoperability, metadata, lineage, privacy, and data quality.

  • Experience evaluating commercial platforms, vendor solutions, and enterprise integrations.

  • Familiarity with AI-enabled capabilities, automation, and advanced analytics.

  • Exceptional communication and stakeholder leadership skills across global organizations.

Preferred Skills:

  • Experience supporting commercial launches across Europe and/or Japan.

  • Experience with Salesforce, Veeva CRM, Salesforce Marketing Cloud, PharmaForceIQ/Aktana, Databricks, or similar platforms.

  • Experience delivering enterprise Commercial or Medical data products.

  • Oncology, specialty pharmaceutical, or emerging biotechnology experience.

  • Experience applying AI and workflow automation to improve commercial capabilities.

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