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Clinical Data Management Jobs in Virginia (NOW HIRING)

Venesco LLC

SAS Programmer

Falls Church, VA · On-site

Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory ... data management teams • Support regulatory submissions and audits Minimum Qualifications: • ...

Jobtailor

Data Analyst

Richmond, VA · On-site

$95 - $135/hr

Build diverse, accurate reports using large amounts of financial and clinical data. * Query ... Previous project management knowledge and skills. * Experience with statistical analysis software ...

Zimmer Biomet

$15 - $20/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

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How much do clinical data management jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for clinical data management in Virginia is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $67.45 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 Virginia?

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

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

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

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

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

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

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

Clinical Data Management jobs near you
Infographic showing various Clinical Data Management job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $117,889 per year, or $56.7 per hour.

SAS Programmer

Venesco LLC

Falls Church, VA • On-site

Full-time

Re-posted 16 days ago

Job description

SAS Programmer
Location: Remote/Hybrid
Job Type: Full-Time
Position Overview:
Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory submission activities.
Requirements
Key Responsibilities: • Develop SAS programs for tables, listings, and figures (TLFs) • Create CDISC-compliant datasets (SDTM and ADaM) • Validate and document programming outputs • Collaborate with statisticians and data management teams • Support regulatory submissions and audits
Minimum Qualifications: • Bachelor's or Master's degree in Statistics or related field • 5+ years of SAS programming experience in clinical research • Experience with CDISC standards
Preferred Qualifications: • Experience supporting FDA submissions • Knowledge of Python

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