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How much do clinical data management jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for clinical data management in the United States is $57.17, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $68.03 per hour, depending on experience, location, and employer.

What is the work of clinical data management?

Clinical data management involves collecting, cleaning, and maintaining data from clinical trials to ensure accuracy, completeness, and consistency. It includes designing data collection tools, validating data, and generating reports, often using specialized software like EDC systems. This role requires attention to detail and knowledge of regulatory standards such as GCP and FDA guidelines.

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 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.

Is clinical data management a good career?

Clinical data management is a vital role in the healthcare and pharmaceutical industries, involving the collection, validation, and analysis of clinical trial data. It offers opportunities for career growth, requires knowledge of data management tools like EDC systems, and often benefits from certifications such as CDMP. The field provides stable employment with increasing demand due to the growth of clinical research activities.

Is CRA an entry-level job?

A Clinical Research Associate (CRA) is typically not an entry-level position; it usually requires prior experience in clinical research, monitoring, or related fields. Entry-level roles in clinical data management or clinical research support may serve as stepping stones toward becoming a CRA, often requiring knowledge of Good Clinical Practice (GCP) and relevant certifications. Most CRAs are expected to have a background in life sciences, healthcare, or related disciplines, along with strong organizational skills and attention to detail.

What are the key skills and qualifications needed to thrive in Clinical Data Management, and why are they important?

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.

How do I become a Clinical Data Manager?

To become a Clinical Data Manager, typically a bachelor's degree in life sciences, healthcare, or a related field is required. Relevant skills include knowledge of clinical trial processes, data management tools like EDC systems, and attention to detail; certifications such as CDMP can enhance job prospects. Gaining experience through internships or entry-level roles in clinical research is also beneficial.
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Clinical Data Management jobs near you
Infographic showing various Clinical Data Management job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,909 per year, or $57.2 per hour.
Senior Director, Clinical Data Management

Senior Director, Clinical Data Management

Umoja Biopharma

Louisville, CO • On-site, Remote

Other

Posted 22 days ago

Job description

POSITION SUMMARY

The Senior Director, Clinical Data Management will provide strategic and operational leadership for all clinical data management activities across Umoja's clinical development programs. This role sits within the Clinical organization and is accountable for ensuring the integrity, quality, and regulatory compliance of clinical trial data from protocol development through database lock and regulatory submission.

This individual will lead the planning, execution, and oversight of data management activities, clinical systems, and external vendors, while building scalable processes and capabilities to support a growing clinical pipeline. The role partners closely with Clinical Development, Clinical Operations, Biostatistics, Translational Medicine, Regulatory Affairs, and external partners like CROs to ensure timely delivery of high quality, decision-ready clinical data.

This role will be an Individual Contributor and will lead a matrixed team of vendors (CROs) and contractors to start. This person will be responsible for building out a future team.

This role will ideally be based in Seattle, WA or Louisville, CO but can be remote within the US. If remote, travel to Umoja Headquarters will be required at least once per quarter.

CORE ACCOUNTABILITIES

Specific Responsibilities include:
HandsOn Clinical Data Management Execution (as needed while building CDM team)

  • Serve as the primary clinical data management lead for assigned clinical trials, with direct accountability for data quality, timeliness, and inspection readiness from protocol development through database lock.
  • Perform detailed protocol review with a focus on data flow, endpoints, data collection strategy, and facilitation of downstream analysis requirements.
  • Lead hands-on CRF design and review, ensuring alignment with protocol objectives, statistical analysis plans, and regulatory expectations.
  • Develop, review, and approve data management plans (DMPs), database specifications, edit check specifications, data transfer agreements, and data review plans.
  • Actively participate in EDC system configuration and validation activities, including review of database builds, user acceptance testing (UAT), and system change control.
  • Perform ongoing hands-on data review, query trend analysis, and proactive data cleaning to ensure high-quality, analysis ready datasets.

Technical Oversight & Data Quality

  • Partner with Clinical Operations and other groups to define and implement data quality standards, reconciliation strategies, and risk basedmonitoring approaches for clinical data.
  • Lead hands-onoversight of external CROs and vendors delivering data management services, including detailed review of deliverables, issue resolution, and escalation management.
  • Directly review and contribute to data listings, data exports, and interim analysis datasets in partnership with Biostatistics and Statistical Programming.
  • Ensure clinical trial data is compliant with applicable regulatory requirements, including GCP, ICH, and CDISC standards.
  • Support inspection readiness activities by authoring, reviewing, and maintaining data management documentation and responding directly to audit and inspection findings.

Cross Functional Collaboration

  • Partner closely with Clinical Operations to align data management activities with study execution, site operations, monitoring strategies, and operational reporting needs.
  • Collaborate with Biostatistics and Statistical Programming to ensure smooth handoff of clean, well documented- datasets for analysis and reporting.
  • Provide technical data management expertise to Regulatory Affairs in support of clinical study reports, INDs, BLAs, and other regulatory submissions.
  • Serve as the clinical data management subject matter expert on study teams, governance forums, and internal reviews.

Process & Systems Ownership

  • Own and continuously improve clinical data management processes, tools, and SOPs to support efficient execution in a growing organization.
  • Evaluate, implement, and optimize clinical data systems and technologies (e.g., EDC, IRT, eCOA) to enhance data quality, traceability, and scalability.
  • Contribute handson to vendor selection, scope definition, and budgeting for data management services and systems.

The successful candidate will have:

  • Bachelor's degree or higher in life sciences, health informatics, computer science, or a related discipline with a minimum of 15 years of experience. Equivalent combinations of education and experience will be considered.
  • Significant experience in clinical data management within the biotechnology or pharmaceutical industry, including 8+ years of leadership of data management functions for clinical trials.
  • Demonstrated experience overseeing CROs and external vendors delivering clinical data management services.
  • Strong working knowledge of clinical trial processes, EDC systems, data standards, and regulatory expectations for clinical data.
  • Proven ability to lead teams, manage complex programs, and collaborate effectively in a fastpaced, matrixed environment.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Experience supporting oncology and/or cell or gene therapy clinical development programs.
  • Experience building or scaling clinical data management capabilities in a growing biotech organization.
  • Prior involvement in regulatory submissions and inspection readiness activities.

Physical Requirements

  • Preference to work onsite at least 2 days/week in our Seattle, WA or Louisville, CO location. If remote, the ability to travel to Seattle, WA at least once per quarter.
  • Ability to sit for prolonged periods of time.

Salary Range: $247,400 - $305,600

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