Statistical Programmer 1, Location: Leeds (Office-Based)

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

Are you looking to apply your analytical and technical skills to work that has a real impact on patients' lives?As a Statistical Programmer 1 at Fortrea, you will be part of a global team responsible for transforming clinical trial data into high-quality datasets and reports that support critical drug development decisions. Working alongside biostatisticians, data managers, and clinical teams, you will contribute to the delivery of clinical studies across a range of therapeutic areas and development phases.This is an opportunity to build expertise in statistical programming while taking ownership of meaningful deliverables that support regulatory submissions and help bring new treatments to patients worldwide.Your TeamThe Statistical Programming Department plays a key role in the clinical development process. Our teams develop, validate, and maintain the programming solutions used to analyze and report clinical trial data. From study start-up through regulatory submission, we deliver accurate and reliable outputs that support scientific and business decision-making.Real-World ImpactEvery dataset, analysis output, and report produced by our Statistical Programming teams contributes to the development of safe and effective therapies. Your work will play an important role in ensuring that clinical data is accurate, reliable, and ready to support regulatory and scientific decision-making.What You'll DoAs a Statistical Programmer 1, you will support programming and reporting activities across clinical studies, helping ensure the timely and accurate delivery of study data and analysis outputs.You will:Develop, validate, and maintain SAS programs for data analysis and reporting.Create and support SDTM and ADaM datasets.Produce Tables, Figures, and Listings (TFLs) used in clinical study reporting.Perform quality control and validation of programming outputs.Produce Define XML/PDFs, Analysis Results Metadata (ARM), annotated CRFs and Reviews Guides to support SDTMs and ADaMs.Follow CDISC standards, regulatory requirements, and internal processes.Contribute to study deliverables across multiple therapeutic areas and development phases.Education & QualificationsRequiredBSc. in Statistics, Mathematics, Computer Science, Data Science, Life Sciences, or another relevant discipline.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.PreferredExposure to statistical programming, data analysis, or databases through studies, internships, or work experience.Familiarity with SAS, R, Python, SQL, or similar tools.Knowledge of clinical research or healthcare data is advantageous.What We're Looking ForSuccessful candidates will demonstrate:Interest in data analysis and statistical programming.Strong analytical thinking and attention to detail.Ability to work effectively in cross-functional teams.A proactive approach and sense of ownership.Good communication and time management skills.Ability to manage multiple priorities and meet deadlines.Learn more about our EEO & Accommodations request here .