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Sdtm Programmer Jobs (NOW HIRING)

The candidate must be very good in SDTM. Looking for 10+ years of clinical SAS programmers having in depth knowledge of CDISC SDTM. Gathering data from all available source and using SAS to process ...

SDTM/Clinical SAS 1. Must have 6-8 years of experience in the clinical domain 2. Strong knowledge ... for efficient data processing 4. Act as the primary programming point of contact for ...

Key Responsibilities: • Develop SAS programs for tables, listings, and figures (TLFs) • Create CDISC-compliant datasets (SDTM and ADaM) • Validate and document programming outputs • ...

Principal Statistical Programmer Start Date: Targeted for midJuly Position Summary We are seeking a ... SDTM datasets * ADaM datasets * Tables, Listings, and Figures (TLFs) * Ensure all deliverables are ...

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 ...

Requirements Key Responsibilities: • Develop SAS programs for tables, listings, and figures (TLFs) • Create CDISC-compliant datasets (SDTM and ADaM) • Validate and document programming outputs ...

Requirements Key Responsibilities: • Develop SAS programs for tables, listings, and figures (TLFs) • Create CDISC-compliant datasets (SDTM and ADaM) • Validate and document programming outputs ...

Strong knowledge of SDTM. * Extensive programming experience in a clinical trial environment (CRO/Pharma). * Expertise in SAS/BASE, SAS/STAT, and SAS/MACRO. * In-depth knowledge of CDISC standards ...

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How much do sdtm programmer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for sdtm programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

How hard is it to get a job at SAS?

Sdtm Programmers can find opportunities at SAS, especially with strong knowledge of SAS tools, programming skills, and understanding of clinical data standards. Entry-level roles may require relevant certifications or experience, but the hiring process generally depends on the candidate's technical expertise and industry experience. Competition can vary based on location and demand for specialized skills in clinical data management.

What are the key skills and qualifications needed to thrive in the Sdtm Programmer position, and why are they important?

To thrive as an SDTM Programmer, you need a strong background in clinical data management, data standards (especially CDISC SDTM), and programming skills—typically in SAS. Familiarity with SDTM mapping, data validation tools, and relevant regulatory submission platforms or certifications (e.g., SAS Certified Clinical Trials Programmer) is highly valuable. Strong attention to detail, analytical thinking, and effective communication enable collaboration with clinical teams and accurate data interpretation. These skills ensure clinical trial data is accurately standardized, regulatory-compliant, and ready for analysis, which is critical to successful drug development processes.

What is an SDTM Programmer job?

An SDTM Programmer is responsible for converting clinical trial data into standardized Study Data Tabulation Model (SDTM) datasets as per CDISC (Clinical Data Interchange Standards Consortium) guidelines. They ensure that data is structured and formatted correctly for regulatory submissions to agencies like the FDA or EMA. Their work involves writing SAS programs, validating datasets, and collaborating with clinical teams to ensure compliance and accuracy. Strong knowledge of SDTM standards, SAS programming, and clinical trial processes is essential for this role.

Is SAS programming in demand?

SAS programming remains in demand, especially in industries like pharmaceuticals, healthcare, and finance that rely on clinical trial data analysis and regulatory reporting. Skilled SAS programmers with knowledge of data management, statistical analysis, and validation tools are sought after, and proficiency in SAS can lead to stable employment opportunities.

What is the role of SDTM programmer?

An SDTM programmer is responsible for developing and validating data tabulation models (SDTM) for clinical trial data submissions, ensuring compliance with regulatory standards such as CDISC. They use programming languages like SAS or R to transform raw data into standardized formats, supporting accurate data analysis and reporting.

How much do SAS programmers make?

SAS programmers, including SDTM programmers who specialize in clinical data management, typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Entry-level positions may start around $60,000, while senior roles with advanced skills and certifications can exceed $130,000. Salary also varies based on the complexity of projects and the industry sector.

What are the typical daily responsibilities of an SDTM Programmer?

SDTM Programmers are primarily responsible for transforming raw clinical trial data into standardized SDTM domains using programming languages like SAS. On a daily basis, you may be involved in mapping study data to SDTM specifications, validating the datasets, resolving discrepancies with data management teams, and documenting your processes for regulatory review. Collaboration with biostatisticians, clinical data managers, and quality assurance teams is also a significant part of the role. These responsibilities ensure that clinical data is accurate, compliant with industry standards, and prepared for analysis and submission to regulatory agencies.

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Senior Clinical Programmer Contractor

Senior Clinical Programmer Contractor

Arcus Biosciences

Remote

Contractor

Posted 12 days ago


Job description

Description
Summary
The Senior Clinical Programmer Contractor will be responsible for support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables. This position will report to a Senior Manager of Clinical Programming or higher and will interact regularly with internal and external biostatisticians, clinical data managers, and other team members. Demonstrated ability to prioritize work and to effectively communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations and regulatory) is a must.
The ideal candidate will come with years of solid industry experience working in a regulated global environment while also demonstrating know-how, flexibility and scientific curiosity useful for establishing internal infrastructure, developing analysis standards, and driving both formal and exploratory work.
Responsibilities
  • Working from specifications developed by Data Management, with some support build and execute programs for internal data reviews, data reconciliation, and edit checks.
  • Assist in developing/maintaining clinical programming related standards and tools.
  • Work with data management to review case report forms, database specifications and similar documents.
  • With some support, develop data transfer specifications and manage the transfer of external data.
  • Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer's guide, etc.
  • With minimal supervision, performs stakeholder management, negotiating timelines and scope of deliverables.
  • Participate in standards governance and developing biometric department operational processes.

Qualifications
  • Bachelor's or Master's degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience.
  • Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred.
  • Good programming experience in SAS.
  • Experience with other software languages (e.g., Unix scripts, AI tools, R functions/packages, etc).
  • Good knowledge of CDISC data standards (CDASH, SDTM).
  • Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc.
  • Demonstrated ability to rapidly adapt to changing project and strategic requirements.
  • Takes a fit-for-purpose mindset to daily work as well as long-term vision.

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