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How much do sdtm jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for sdtm in the United States is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $68.03 per hour, depending on experience, location, and employer.

What is an SDTM?

An SDTM job involves working with the Study Data Tabulation Model (SDTM), a standardized format required by regulatory agencies like the FDA for clinical trial data submission. Professionals in this role convert raw clinical data into SDTM-compliant datasets, ensuring consistency, traceability, and adherence to regulatory guidelines. Responsibilities often include data mapping, validation, and quality control to facilitate efficient review by regulatory bodies.

What are the key skills and qualifications needed to thrive as an SDTM programmer?

To thrive as an SDTM (Study Data Tabulation Model) Programmer, you need a strong background in clinical data standards, SAS programming, and an understanding of FDA submission requirements, usually supported by a degree in a scientific, mathematical, or computer-related field. Expertise with CDISC standards, SDTM IGs (Implementation Guides), and tools such as Pinnacle 21 Validator or JReview is essential. Strong analytical skills, attention to detail, effective communication, and the ability to collaborate across multidisciplinary teams are vital soft skills. These competencies are crucial for ensuring high-quality, regulatory-compliant clinical trial data that supports successful drug approval processes.

What does an SDTM programmer do?

As an SDTM Programmer, your daily tasks often include mapping raw clinical data into SDTM domains, validating datasets for compliance with CDISC standards, and generating documentation and specifications for regulatory submissions. You’ll frequently work with clinical data managers, statisticians, and other programmers to ensure data integrity and resolve any data-related queries that arise. Collaboration and timely troubleshooting are key, as your work supports the efficient progression of clinical studies through regulatory review. The role tends to be dynamic and deadline-driven, making organizational skills and adaptability important for success.

More about SDTM jobs
What cities are hiring for Sdtm jobs? Cities with the most Sdtm job openings:
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SDTM jobs near you
Infographic showing various Sdtm job openings in the United States as of August 2026, with employment types broken down into 44% Full Time, 53% Part Time, and 3% Contract. Highlights an 38% Physical, 2% Hybrid, and 60% Remote job distribution, with an average salary of $112,399 per year, or $54 per hour.

Senior Clinical Programmer - SDTM and R/SAS 3635027

Axiom Path

Bridgewater, NJ • Remote

$75 - $80/hr

Full-time

Posted 27 days ago

Job description

Be Part Of A High-Performing Team:

Join a growing clinical programming function within a science-driven biopharmaceutical organization developing therapies for patients with serious and rare diseases. This newly established team is bringing critical SDTM programming capabilities in-house and works closely with data management, biostatistics, and statistical programming. The environment is collaborative, technically rigorous, and well suited to an experienced programmer who enjoys building reliable clinical-data solutions while helping shape new internal processes.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a fully remote, 12-month consulting assignment open to candidates located anywhere in the United States. Availability during Eastern Time business hours is preferred.

The role offers the opportunity to become one of the early members of a growing clinical programming team and contribute directly to the organization’s transition from outsourced SDTM programming to an internal delivery model. A contract extension may be possible based on performance and business needs, although permanent conversion is not currently planned.

How You Will Make An Impact:

  • Create production-quality SDTM datasets using both SAS and R.
  • Independently perform quality control and validation of SDTM datasets.
  • Develop dataset specifications using CDISC standards and current SDTM Implementation Guides.
  • Create annotated CRFs, including domain mappings, annotation boxes, controlled terminology, and page-level placement.
  • Apply existing team macros and programming utilities to support annotated CRF and SDTM production.
  • Develop SAS- and R-based listings and reports supporting medical monitoring, clinical data management, and statistical endpoint monitoring.
  • Perform clinical-data checks, reconciliations, and issue investigation as assigned.
  • Collaborate closely with data managers, biostatisticians, statistical programmers, and clinical-study stakeholders.
  • Help establish scalable internal standards, workflows, and quality practices as SDTM programming transitions in-house.
  • Manage multiple study deliverables independently while maintaining accuracy, traceability, and timely execution.

Do you bring proven success in SDTM programming with both SAS and R?

  • Approximately 8–10 years of hands-on clinical programming experience in pharmaceutical, biotechnology, CRO, or related regulated clinical environments.
  • Strong production programming proficiency in both SAS and R.
  • Demonstrated experience creating and independently quality-checking SDTM datasets.
  • Strong knowledge of CDISC standards and current SDTM Implementation Guides.
  • Hands-on experience creating annotated CRFs, including page-level annotations and terminology mapping.
  • Ability to use established macros, functions, and programming utilities.
  • Experience translating raw clinical data, CRFs, specifications, and programming standards into compliant SDTM deliverables.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.
  • Ability to work independently as an individual contributor in a small and evolving team.
  • Strong written and verbal communication skills.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, or R Markdown is highly desirable.
  • Exposure to SQL programming is preferred.
  • Experience supporting medical monitoring, data-management reports, reconciliations, or statistical endpoint monitoring is beneficial.