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Sdtm Cdisc Programmer Jobs (NOW HIRING)

As a Principal Programmer CDISC SME you will be dedicated to one of our global pharmaceutical ... This role ensures that clinical data standards, including SDTM, ADaM, CDASH, define.xml, annotated ...

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Sdtm Cdisc Programmer information

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How much do sdtm cdisc programmer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for sdtm cdisc programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an SDTM CDISC programmer?

SDTM CDISC Programmers are specialized professionals who convert clinical trial data into standardized formats according to the Study Data Tabulation Model (SDTM) and Clinical Data Interchange Standards Consortium (CDISC) guidelines. They play a crucial role in preparing clinical data for regulatory submissions by ensuring datasets meet compliance and quality standards. These programmers often use tools like SAS to map raw data to SDTM domains, create validation checks, and generate documentation. Their work helps streamline the drug approval process and supports data sharing across studies and organizations.

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

To thrive as an SDTM CDISC Programmer, you need strong expertise in clinical data standards, advanced SAS programming skills, and a solid understanding of SDTM and CDISC guidelines, usually supported by a degree in life sciences, statistics, or a related field. Familiarity with tools like SAS, Pinnacle 21 Validator, and clinical data management systems is crucial, and CDISC-related certifications can be advantageous. Attention to detail, problem-solving abilities, and clear communication help ensure accurate data mapping and effective collaboration across teams. These skills and qualities are essential for producing compliant, high-quality clinical trial data submissions that meet regulatory requirements.

What are some common challenges faced by SDTM CDISC programmers when standardizing clinical trial data?

SDTM CDISC Programmers often encounter challenges such as integrating disparate data sources, handling incomplete or inconsistent data, and ensuring strict adherence to CDISC standards. They must also stay up-to-date with evolving regulatory requirements and guidelines, which can vary by study or sponsor. Effective communication and collaboration with data managers, statisticians, and clinical teams are essential to resolve data issues and ensure accurate, submission-ready datasets.

What are popular job titles related to Sdtm Cdisc Programmer jobs?

For Sdtm Cdisc Programmer jobs, the most frequently searched job titles are:

Infographic showing various Sdtm Cdisc Programmer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 11% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Statistical Programmer II

Tampa, FL • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role: Statistical Programmer II
Location : Tampa, Florida
Job Duties:
Roles and responsibilities she perfomed as a Statistical Programmer I/ Sas Programmer I from
Sep2019 - Jan2021 Includes the follows:
Provide statistical programming support for the reporting of clinical trial results of Phase 1
and Phase 2
Experience working with systems used within the Clinical Trial process.
Generated program as per STDM standards and Documentation of SAS code, log, Output
and report as per SOP guidelines.
Performed CDISC Mapping for Ongoing clinical trials and classified data into domains.
understanding with CDISC SDTM Implementation Guide v3.1.2/ v3.1.3 and SDTM
Model.
Proficient in generating clinical reports for safety analysis in the form of tables and listings.
Developed reports for safety as per study requirements debugging SAS errors and
identifying issues producing reports or analysis data sets and SAS data sets.
Roles and responsibilities she perfomed as a Statistical Programmer II/ Sas Programmer II from
feb2021 - Dec2022 Includes the follows:
Experienced in Writing statistical programs using SAS and R as per requests from internal
or external clients and reviewing the statistical analysis plan (SAP), SDRG and ADRG.
Handling of multiple Projects of client data to analyze Phase II and Phase III Clinical trials
data in various therapeutic areas like Hematology, endocrinology, Dermatology,
Gastroenterology, Immunology, Neurology and Virology to provide statistical
programming by using SAS tools such as SAS/MACROS, SAS/SQL and R experience for
the reporting of clinical trial results.
Involved in error handling, fixing bugs, and overcoming the challenges faced while
developing the code of specified structure of Tables and listings through creating Macros
and macro variables.
Experienced in data validation and data cleaning and worked understanding with CDISC
SDTM Implementation Guide v3.2/v3.3 and SDTM Model checks (through specifications) on
clinical trial datasets and QC of Statistical/ Programming outputs like Analysis Datasets and
aCRF (Case Report Form).
Experienced in creating reports using proc report and derived data sets (SDTM, CDISC,
ADAM) and Generated Define.xml output for FDA regulatory submissions.
Created efficacy customize reports for FDA regulatory submissions and develop to
maintain SAS programs to create SDTM and Adam datasets and created Tables and
Figures to support clinical trials.
Track clinical trial milestones for statistical programming deliverables.
Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and
international regulations, and participate in internal/external audits and regulatory
inspections as required.
Analyzed and validated data sets and SAS outputs with other programmer's outputs and
mockups in SAP using PROC COMPARE, PROC CONTENTS and PROC FREQ. Created
formats for the coded data and used PROC SQL for data validation.