Clinical Data Analytics Programmer I — Impactful Trials

Fortrea; Leeds; On-site; GBP 30,000 - 42,000; Full time

Job summary

Fortrea is seeking a Statistical Programmer 1 in Leeds to contribute to datasets and reports that support crucial drug development decisions. You will develop SAS programs, build SDTM and ADaM datasets, and generate TFLs for regulatory submissions, while ensuring QC and adherence to CDISC standards.

You will collaborate with biostatisticians, data managers, and clinical teams across therapeutic areas, taking ownership of deliverables and maintaining rigorous data quality for regulatory readiness.

Qualifications

• Bachelor-level degree in Statistics, Mathematics, Computer Science, Data Science or Life Sciences.
• Strong analytical, problem-solving, and organizational skills.
• Attention to detail and ability to work with complex data.
• Effective communication and teamwork skills.
• Proficiency in Microsoft Office, particularly Excel.

Responsibilities

• Develop, validate, and maintain SAS programs for data analysis and reporting.
• Create and support SDTM and ADaM datasets.
• Produce Tables, Figures, and Listings (TFLs) for clinical study reporting.
• Perform quality control and validation of programming outputs.
• Produce Define XML/PDFs, ARM, annotated CRFs for SDTMs/ADaMs; follow CDISC standards.

Skills

Analytical thinking

Problem solving

Attention to detail

Communication

Teamwork

Time management

Ownership

Cross-functional collaboration

Education

BSc in Statistics / Mathematics / Computer Science / Data Science / Life Sciences

Tools

SAS

R

Python

SQL

Job description

Fortrea is seeking a Statistical Programmer 1 in Leeds to contribute to datasets and reports that support crucial drug development decisions. You will develop SAS programs, build SDTM and ADaM datasets, and generate TFLs for regulatory submissions, while ensuring QC and adherence to CDISC standards.

You will collaborate with biostatisticians, data managers, and clinical teams across therapeutic areas, taking ownership of deliverables and maintaining rigorous data quality for regulatory readiness.