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Medical Analyst Jobs in California (NOW HIRING)

Charge Description Analyst

Los Angeles, CA ยท On-site

$88K - $190K/yr

Eight or more years of experience in hospital finance, billing, coding, revenue integrity, medical analysis, or medical auditing * Prior experience and/or knowledge of regulations on charging and ...

Who We Are Our Analytics & Insights organization is dedicated to driving high-impact business strategies and elevating patient outcomes across Commercial, Medical, and Government Affairs (CMG). By ...

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Medical Analyst information

See California salary details

$9

$25

$41

How much do medical analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for medical analyst in California is $25.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $27.50 per hour, depending on experience, location, and employer.

What is a medical analyst?

Medical Analysts are professionals who collect, interpret, and analyze medical data to support healthcare decision-making and improve patient outcomes. They often work with electronic health records, clinical research data, and healthcare databases to identify trends, ensure data accuracy, and support clinical or operational improvements. Medical Analysts may collaborate with doctors, administrators, and researchers to provide insights that help optimize patient care, streamline processes, or support public health initiatives. Their work is essential in transforming raw medical information into actionable knowledge for healthcare organizations.

How does a medical analyst typically collaborate with healthcare professionals and data teams in their daily work?

Medical Analysts frequently act as a bridge between clinical staff and data teams, translating medical data into actionable insights. They work closely with physicians, nurses, and administrators to understand clinical needs and then partner with data scientists or IT specialists to design and implement data solutions. Regular meetings, data review sessions, and joint problem-solving are common, fostering a collaborative environment. This teamwork ensures that analytical findings are both medically relevant and technically robust, ultimately improving patient care and operational efficiency.

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

To thrive as a Medical Analyst, you need a strong background in medical data analysis, healthcare regulations, and clinical terminology, often supported by a degree in health informatics, biology, or a related field. Familiarity with statistical analysis software (such as SAS or SPSS), electronic health record (EHR) systems, and data visualization tools is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting complex data and presenting findings to diverse stakeholders. These skills and qualities are vital for providing accurate insights that improve patient outcomes and support healthcare decision-making.

What is the difference between Medical Analyst vs Medical Data Analyst?

AspectMedical AnalystMedical Data Analyst
Required CredentialsBachelor's degree in healthcare, biology, or related field; certifications like Certified Healthcare Analyst (CHA) are commonBachelor's or master's in health informatics, data science, or related; certifications like Certified Health Data Analyst (CHDA) are typical
Work EnvironmentHospitals, clinics, healthcare organizations, government agenciesHealthcare IT companies, research institutions, hospitals, data-focused departments
Employer & Industry UsageUsed in healthcare settings to analyze clinical and operational dataUsed to interpret large datasets, improve healthcare delivery, and support decision-making

The main difference between a Medical Analyst and a Medical Data Analyst lies in their focus. Medical Analysts often work directly within healthcare settings analyzing clinical and operational data, while Medical Data Analysts primarily handle large datasets, focusing on data management and insights to improve healthcare outcomes. Both roles require similar educational backgrounds and certifications but differ in their specific responsibilities and work environments.

Are healthcare analysts in demand?

Healthcare analysts are in high demand due to the growing need for data-driven decision making in the healthcare industry. They analyze medical data, improve patient outcomes, and support operational efficiency, often requiring skills in data analysis tools and knowledge of healthcare regulations. Employment prospects are strong across hospitals, insurance companies, and healthcare technology firms.

How much does a medical analyst make?

The average salary for a medical analyst is around $65,000 to $75,000 per year, depending on experience, education, and the employer. Salaries can vary based on location, certifications, and the complexity of data analysis tasks involved.

What degree do you need to be a medical analyst?

A medical analyst typically needs at least a bachelor's degree in health information management, health sciences, biology, or a related field. Some positions may require a master's degree or professional certifications such as Certified Health Data Analyst (CHDA). Strong analytical skills and familiarity with healthcare data systems are also important.

What cities in California are hiring for Medical Analyst jobs?

Cities in California with the most Medical Analyst job openings:

Infographic showing various Medical Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $52,698 per year, or $25.3 per hour.

Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA โ€ข Hybrid

Full-time

Re-posted 22 days ago


Job description

The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

  • Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

  • Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

  • Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

  • Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Proven ability to independently lead statistical aspects of complex, cross-functional projects.

  • Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

  • Excellent verbal and written communication skills are required.

  • Excellent interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data.ย 

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