Statistical Programmer 1

Fortrea; Ledston; On-site; GBP 32,000 - 48,000; Full time

Job summary

Fortrea in Leeds is seeking a Statistical Programmer 1 to contribute to transforming clinical trial data into high-quality datasets and reports that support critical drug development decisions across therapeutic areas.

You will collaborate with biostatisticians, data managers, and clinical teams to deliver study data and analysis outputs on time, using SAS and CDISC standards, contributing to regulatory submissions.

Qualifications

• BSc in Statistics, Mathematics, Computer Science, Data Science, Life Sciences, or related discipline.
• Strong analytical and problem-solving skills; attention to detail.
• Ability to handle complex data and communicate effectively.

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 and Reviews Guides for SDTMs/ADaMs.
• Follow CDISC standards, regulatory requirements, and internal processes.
• Contribute to study deliverables across multiple therapeutic areas and development phases.

Skills

Strong analytical

Problem-solving

Organizational skills

Effective communication

Teamwork

Education

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

Tools

SAS

SDTM

ADaM

Excel

CRF/Timing/define XML

Job description

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

Locations: Leeds

Country: United Kingdom

Country code: GB

Time type: Full time

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 Team

The 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 Impact

Every 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 Do

As 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 & Qualifications

Required

• BSc. 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.

Preferred

• Exposure 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 For

• 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.