Senior Statistical Programmer — Lead SDTM/ADaM & Analysis

Worldwide; Nottingham; Hybrid; GBP 55,000 - 70,000; Full time

Job summary

Worldwide Clinical Trials is seeking a skilled Statistical Programmer to join our Global Programming team. You will develop and validate CDISC SDTM/ADaM datasets, create TFLs and listings, and contribute to submission-ready packages across multiple studies.

You will review study specs, lead programming efforts on medium complexity trials, and collaborate with statisticians, sponsors, and programmers to ensure quality and regulatory compliance.

Qualifications

• Educated to degree level or equivalent.
• Advanced SAS programming skills with SAS/Macro, Proc Report and ODS.
• Good working knowledge in SAS/Graph and Proc SQL.
• Minimum 3 years of related experience.

Responsibilities

• Develop, test and execute SAS programs to produce and validate CDISC SDTM and ADaM datasets, tables, figures and listings (TFL).
• Review the clinical database specification and programming parts of the Statistical Analysis Plan including TFL shells for medium complexity studies.
• Develop and review specification for SDTM datasets and ADaM datasets for safety data, TFL shells and other specifications.
• Develop electronic data submission package (SDTM annotated CRF, define.xml, Study/Analysis Data Reviewer's Guide) for medium complexity studies.
• Serve as a programming project lead on medium complexity studies to distribute and oversee tasks for the programming team, communicate with internal and external clients, plan and execute delivery, and manage resources and competing project priorities with line manager or mentor support.
• Ensure budget and scope of project work remain aligned.

Skills

Advanced SAS programming

SAS/Macro

Proc Report

ODS

SAS/Graph

Proc SQL

Education

Bachelor’s degree or higher in a relevant field

Job description

Worldwide Clinical Trials is seeking a skilled Statistical Programmer to join our Global Programming team. You will develop and validate CDISC SDTM/ADaM datasets, create TFLs and listings, and contribute to submission-ready packages across multiple studies.

You will review study specs, lead programming efforts on medium complexity trials, and collaborate with statisticians, sponsors, and programmers to ensure quality and regulatory compliance.