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Clinical Data Programmer Jobs (NOW HIRING)

Join us! Clinical Data Manager does at Worldwide Oversee, lead, manage, and provide ... Write external vendor reconciliation specifications for programming reconciliation outputs (e.g.

The Clinical Data Manager will plan and oversee all data management activities across assigned ... Collaborate with Biostatistics and Programming functions to ensure development of submission-ready ...

Job Title: Clinical Data Coordinator We are seeking a Clinical Data Coordinator to join the ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

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Job Title: Clinical Data Coordinator We are seeking a Clinical Data Coordinator to join the ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

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Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

Clinical Data Manager

Durham, NC · On-site

$68K - $171K/yr

Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

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Clinical Data Programmer information

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$69.5K

$119K

$212K

How much do clinical data programmer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for clinical data programmer in the United States is $118,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $180,000.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Data Programmer vs Clinical Data Analyst?

AspectClinical Data ProgrammerClinical Data Analyst
Required CredentialsBachelor's in Life Sciences, Biostatistics, or related field; knowledge of programming languages like SAS or RBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentClinical trial data management teams, often in CROs or pharmaceutical companiesData analysis teams, often in healthcare or research organizations
Employer & Industry UsageUsed in clinical research to prepare datasets for analysisUsed to interpret data, generate reports, and support decision-making

While both roles involve working with clinical data, Clinical Data Programmers focus on coding and preparing datasets, whereas Clinical Data Analysts interpret data and generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

To thrive as a Clinical Data Programmer, you need a strong background in programming (especially SAS or SQL), understanding of clinical trial data, and a degree in life sciences, statistics, or a related field. Familiarity with electronic data capture systems, CDISC standards (SDTM/ADaM), and regulatory requirements is typically expected, and relevant certifications can be advantageous. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data integrity and collaborating with cross-functional teams. These skills and qualifications are vital for producing accurate, regulatory-compliant datasets that support clinical research and successful drug development.

What is a clinical data programmer?

Clinical Data Programmers are professionals who manage, process, and analyze clinical trial data using specialized programming languages and software. They are responsible for creating and validating programs that ensure data collected during clinical studies is accurate, consistent, and ready for statistical analysis. Their work is essential to the integrity of clinical research, enabling regulatory submissions and supporting medical decision-making. Clinical Data Programmers often work closely with clinical data managers, statisticians, and other clinical research professionals.

How does a clinical data programmer typically collaborate with clinical research teams during a study?

Clinical Data Programmers work closely with clinical research associates, data managers, biostatisticians, and project managers to ensure the integrity and accuracy of clinical trial data. They often participate in study setup meetings, provide input on case report form (CRF) design, and develop programs for data validation and cleaning. Regular communication is essential to resolve any discrepancies or issues that arise during data collection and to implement mid-study changes. This collaborative environment ensures that the data is reliable and meets regulatory requirements.
More about Clinical Data Programmer jobs

What cities are hiring for Clinical Data Programmer jobs?

Cities with the most Clinical Data Programmer job openings:

Who are the top companies hiring for Clinical Data Programmer jobs?

The top employers for Clinical Data Programmer jobs are:

What states have the most Clinical Data Programmer jobs?

States with the most job openings for Clinical Data Programmer jobs include:

Infographic showing various Clinical Data Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,962 per year, or $57.2 per hour.

Full-time

Re-posted 6 days ago


Job description

Overview

The Manager, Data Management will be responsible for overseeing clinical data management activities across one or more clinical programs. This individual will work closely with Clinical Operations, Biostats and  Programming, Medical, Safety, Regulatory, external CROs, and technology vendors to ensure high-quality, inspection-ready clinical data.

This is a hands-on role well suited for someone who thrives in a small biotech environment, can manage external partners effectively, and is comfortable moving between strategy, execution, and problem-solving.

Responsibilities
  • Oversee end-to-end clinical data management activities for assigned studies, from study start-up through database lock.
  • Manage CROs, EDC vendors, central labs, imaging vendors, eCOA providers, IRT vendors, and other data providers.
  • Review and contribute to key study documents, including data management plans, edit check specifications, CRF completion guidelines, data transfer agreements, and data review plans.
  • Support CRF design, database build, user acceptance testing, and EDC system validation activities.
  • Ensure timely data cleaning, query management, reconciliation, coding, and database lock activities.
  • Coordinate external data transfers and reconciliations, including laboratory, pharmacokinetic, biomarker, imaging, safety, and IRT data.
  • Partner with Clinical Operations and study teams to identify data quality issues and drive resolution.
  • Support medical coding activities using MedDRA and WHODrug, as applicable.
  • Contribute to clinical data review meetings and help prepare data outputs for internal decision-making.
  • Maintain data management documentation in compliance with GCP, ICH guidelines, SOPs, and regulatory expectations.
  • Support vendor selection, budget review, timelines, performance oversight, and issue escalation.
  • Contribute to process development and continuous improvement as the company scales its clinical operations infrastructure.
Qualifications
  • BS/MS degree in life sciences, data sciences, health sciences, or a related field.
  • 8+ years of clinical data management experience in biotech, pharmaceutical, CRO, or related clinical research settings.
  • Experience supporting oncology and/or immune disease clinical trials.
  • Strong working knowledge of EDC systems such as Medidata Rave or similar platforms.
  • Experience managing CROs and external clinical data vendors.
  • Familiarity with clinical trial data standards, including CDISC, SDTM concepts, and database lock processes.
  • Understanding of GCP, ICH guidelines, regulatory requirements, and clinical trial documentation standards.
  • Strong attention to detail, organizational skills, and ability to manage multiple priorities in a fast-paced environment.
  • Excellent communication and cross-functional collaboration skills.
  • Experience in a small biotech or emerging pharmaceutical company.
  • Experience with early-phase oncology trials, dose escalation, expansion cohorts, and complex biomarker-driven studies.
  • Familiarity with molecularly targeted therapies, protein degradation, or immune-mediated disease programs.
  • Experience with external data types such as genomics, biomarkers, PK/PD, central imaging, and specialty labs.
Employment Type: FULL_TIME