Senior Statistical Programmer - SDTM/ADaM Lead (UK/Serbia)

Worldwide Clinical Trials; Nottingham; On-site; GBP 45,000 - 65,000; Full time

Job summary

Worldwide Clinical Trials in the United Kingdom is seeking an experienced Statistical Programmer to lead programming efforts on medium to large-scale studies, ensuring CDISC compliance and high-quality outputs.

You will develop and review SDTM/ADaM datasets, TFLs, and deliver analysis-ready data, collaborating with statisticians, sponsors and study teams while advancing SAS expertise across patients and therapies.

Qualifications

• Must be computer literate and numerate with the ability to adapt to various systems.
• Hands-on expert level project statistical programmer with leadership experience on projects.
• Broad knowledge of statistical programming with customer focus, delivering on commitments, building relationships and embracing change.

Responsibilities

• Develop, test and execute SAS programs to produce and validate SDTM and ADaM datasets, tables, figures and listings (TFL).
• Review the clinical database specification, data transfer agreements, and programming parts of the SAP including TFL shells for medium complexity studies.
• Develop and review specifications for SDTM/ADaM datasets for safety data, TFL shells and other specs (e.g., patient profiles, OPS reports).
• Create electronic submission packages (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, distributing tasks, communicating with clients, planning and ensuring delivery and budget alignment.

Skills

SAS programming

Statistical programming

Project leadership

Data analysis

Education

Bachelor's degree

Tools

SAS

SAS/Macro

Proc Report

ODS

Proc SQL

SAS/Graph

Job description

Worldwide Clinical Trials in the United Kingdom is seeking an experienced Statistical Programmer to lead programming efforts on medium to large-scale studies, ensuring CDISC compliance and high-quality outputs.

You will develop and review SDTM/ADaM datasets, TFLs, and deliver analysis-ready data, collaborating with statisticians, sponsors and study teams while advancing SAS expertise across patients and therapies.