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

FTLEE Fortrea Clinical Research Unit Ltd; Leeds; On-site; GBP 32,000 - 52,000; Full time

Job summary

Fortrea Clinical Research Unit Ltd is seeking a Statistical Programmer 1 in Leeds to join a global team transforming trial data into high-quality datasets and reports. You will work with biostatisticians, data managers, and clinical teams to support regulatory submissions and critical drug development decisions.

You will develop, validate, and maintain SAS programs, create SDTM/ADaM datasets, and produce TFLs while ensuring CDISC standards and data integrity across studies.

Qualifications

• BSc in Statistics, Mathematics, Computer Science, Data Science, Life Sciences, or a related field.
• Strong analytical, problem-solving, and organizational skills.
• Attention to detail and ability to work with complex data.
• Effective communication and teamwork skills.
• Proficiency in MS Office, particularly Excel.
• Familiarity with SAS, R, Python, SQL, or similar tools.
• Knowledge of clinical research or healthcare data is advantageous.

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 study reporting.
• Perform quality control and validation of programming outputs.
• Produce Define XML/PDFs, 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.

Skills

Analytical thinking

Attention to detail

Effective communication

Teamwork

Time management

Multitasking

Education

BSc in Statistics

Tools

SAS

R

Python

SQL

MS Excel

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 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

• 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.

Learn more about our EEO & Accommodations request here.

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