Statistical Programmer III (R and SAS) in City of London

We are looking for a SAS Programmer III who can also program in R with a background in working across clinical trials, ideally with experience in oncology.

The successful candidate be detail-oriented and motivated to deliver high-quality outputs, with a collaborative and customer-focused mindset. You will work closely with programmers, biostatisticians, and cross‑functional teams to support effective data preparation, analysis, and reporting for clinical trials.

This is remote UK and you will need the right to work.

Key Responsibilities

Data preparation: Program safety and efficacy SDTM and ADaM datasets in compliance with CDISC standards, including RECIST SDTM domains where applicable. Support data mapping, integration, and documentation activities to ensure datasets are analysis‑ready.

Anomaly detection: Identify data discrepancies and anomalies within clinical trial datasets through structured review and QC activities. Investigate findings, understand their impact, and clearly communicate issues and resolutions to senior team members and non‑technical stakeholders when required.

Quality Control: Perform quality control checks on SDTM/ADaM datasets, TLF outputs, and specifications to ensure accuracy, consistency, and compliance. Contribute to quality discussions and support the development of others through clear communication of QC findings.

Requirements Analysis: Review Statistical Analysis Plans (SAPs) and stakeholder requests, interpreting requirements into robust SAS and R programming solutions that deliver high-quality outputs.

Stakeholder communication: Collaborate with internal stakeholders including programmers and biostatisticians to understand project needs and contribute to study deliverables. Act as a shadow lead programmer and attend customer meetings alongside the Lead Programmer as required.

Regulatory Compliance: Ensure programming activities adhere to CDISC standards, Good Clinical Practice (GCP), ICH guidelines, and applicable regulatory requirements (FDA, EMA). Create and QC Define.xml files and validate datasets using industry‑standard tools such as Pinnacle21.

Skills and Experience Required

• Experience creating and QCing SDTM and ADaM datasets to CDISC standards.
• Development and QC of safety and efficacy Tables, Listings and Figures (TLFs).
• Bachelor\’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline.
• Minimum of 3 years\’ experience programming clinical trial data, ideally within a CRO or pharmaceutical environment.
• Strong working knowledge of SAS and R for data manipulation and analysis.
• Understanding of clinical trial processes, regulatory expectations, and data standards.
• Ability to diagnose data issues, apply analytical thinking, and resolve discrepancies.
• High attention to detail with a conscientious approach to quality and accuracy.
• Strong organisational skills with the ability to manage multiple tasks and priorities.
• Effective communication and interpersonal skills, with the ability to work independently and collaboratively.
• Experience with other programming languages such as Python, and exposure to Real World Data, would be advantageous.

This is a great opportunity for a Programmer III to continue developing their clinical programming expertise while contributing to high‑quality clinical research that supports improved patient outcomes.