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Clinical Data Management Jobs in California (NOW HIRING)

Xencor

Director, Clinical Data Management

San Diego, CA · On-site

$195 - $240/hr

We have an excellent opportunity for a Director, Clinical Data Management , to join our team. This position will be based out of our San Diego, CA. office and is a minimum 2 days a week onsite hybrid ...

Xencor

Director, Clinical Data Management

San Diego, CA · On-site

We have an excellent opportunity for a Director, Clinical Data Management , to join our team. This position will be based out of our San Diego, CA. office and is a minimum 2 days a week onsite hybrid ...

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How much do clinical data management jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for clinical data management 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 is clinical data management?

Clinical data management (CDM) is a critical process in clinical research that involves collecting, cleaning, and managing data generated during clinical trials. The goal is to ensure that the data is accurate, reliable, and compliant with regulatory standards. CDM professionals work closely with researchers, statisticians, and regulatory bodies to validate data and ensure its integrity throughout the study. This process helps in making informed decisions about the safety and efficacy of new drugs or treatments.

What are the key skills and qualifications needed to thrive in clinical data management?

To thrive in Clinical Data Management, you need a strong background in life sciences, attention to detail, and understanding of clinical trial processes, often supported by a relevant degree. Familiarity with industry-standard data management systems such as Medidata Rave or Oracle Clinical, as well as knowledge of CDISC standards and regulatory requirements, is essential. Excellent organizational skills, communication, and problem-solving abilities help ensure data integrity and effective cross-functional collaboration. These skills and qualities are crucial for ensuring high-quality, compliant data that supports clinical research and regulatory submissions.

What are some common challenges faced by professionals in clinical data management, and how can they be addressed?

One of the common challenges in Clinical Data Management is ensuring data accuracy and consistency across multiple sources and formats. This often involves resolving discrepancies and managing large volumes of data within tight timelines. Effective communication with clinical research associates, statisticians, and IT teams is crucial to address data queries promptly and maintain data integrity. Staying updated with regulatory requirements and leveraging advanced data management systems can also help mitigate these challenges and improve overall workflow efficiency.

What is the difference between Clinical Data Management vs Clinical Data Coordinator?

AspectClinical Data ManagementClinical Data Coordinator
ResponsibilitiesDesigning data collection processes, database setup, data validation, and ensuring data quality for clinical trials.Collecting, reviewing, and entering clinical trial data, ensuring accuracy and completeness.
Required SkillsKnowledge of data management systems, clinical trial processes, and data validation techniques.Attention to detail, data entry skills, familiarity with clinical trial documentation.
Work EnvironmentTypically in clinical research organizations, pharmaceutical companies, or CROs.Often within clinical sites or research teams supporting data collection activities.

While both roles focus on clinical trial data, Clinical Data Management involves designing and overseeing data systems and ensuring data integrity, whereas Clinical Data Coordinators handle the day-to-day data collection and entry tasks. Both are essential for successful clinical research but differ in scope and responsibilities.

How do I become a clinical data management?

To become a clinical data manager, typically a bachelor's degree in life sciences, healthcare, or related fields is required. Gaining experience with clinical trial processes, data management tools like EDC systems, and obtaining certifications such as the Society for Clinical Data Management (SCDM) certification can enhance job prospects.

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

The most popular types of Clinical Data Management jobs in California are:

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

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

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

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

What cities in California are hiring for Clinical Data Management jobs?

Cities in California with the most Clinical Data Management job openings:

Clinical Data Management jobs near you
Infographic showing various Clinical Data Management job openings in California as of August 2026, with employment types broken down into 3% As Needed, 64% Full Time, 27% Part Time, and 6% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution, with an average salary of $117,352 per year, or $56.4 per hour.

Director, Clinical Data Management

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 5 days ago

Job description

The Opportunity:

This position has a key role in the day-to-day management of Clinical Data Management (CDM) activities. Including timely and professional management of clinical trial data for all relevant phases. Represents Revolution Medicines (RevMed) CDM in Clinical Team meetings. The Director, Clinical Data Management, will be required to collaborate closely with other functional leaders to ensure clinical trial success. Defines project-level data management strategy. Identifies requirements for capturing and processing of clinical data ensuring accuracy, consistency, and completeness. Manage external vendors providing clinical data. Manages and/or perform data management tasks according to strict quality standards including SAE reconciliation, third party vendor data reconciliation, medical coding processing, protocol deviation collection, query management to identify errors and inconsistencies in clinical data and ensure their resolution. Provides CDM oversight of outsourced and partner-resourced clinical trials including scoping trials, project management, relationship management, approval of deliverables, and coordination of internal reviewers.

  • Plans, coordinates, and manages CDM tasks for clinical studies.

  • Participate and review CRO proposals.

  • Acts as primary liaison with CROs, third party data vendors, EDC vendors.

  • Reviews clinical protocols and cross functional plans.

  • Serves as primary reviewer or author of case report forms (CRFs) and CRF completion guidelines.

  • Overseas and participates in all aspects of EDC database development, testing, maintenance, and lock/unlock.

  • Ensures Data Management Plans are followed through the course of the studies.

  • Sets and manages Data Management project timelines.

  • Provides comprehensive status updates to project team members.

  • Address data issues identified by cross-functional team members, accountable for external data vendor documentation, management, and reconciliation.

  • Assist in defining and creating data listings, summary table validation, data specifications, and process data transfers in preparation for statistical review and data management audit.

  • Implements data standardization and maintains data model across projects.

  • Direct management and mentoring responsibilities for internal data management team members.

  • Lead department initiatives e.g., development of SOPs.

  • Other duties as assigned.

Required Skills, Experience and Education: 

  • MS, BS/BA degree, or other suitable qualification with relevance to the field.

  • 15 or more years' direct experience of designing and running early-stage or late-stage clinical trials.

  • Knowledge of, and experience with, clinical databases, standards, medical terminology, medical coding dictionaries, quality control processes, and auditing procedures.

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

  • A demonstrable record of strong leadership and teamwork.

  • Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.

  • Excellent written and verbal communication skills.

  • Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute on goals as a member of an interdisciplinary team is extremely important.

  • Experience from industry is essential.

Preferred Skills:

  • Oncology experience, especially in solid tumors.

  • 5 or more years' direct line management experience. 

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