Senior Principal Statistical Programmer

Senior Principal Statistical Programmer (Contract)

A leading global life sciences partner is seeking a highly skilled Senior Principal Statistical Programmer to support advanced statistical analyses for Global Medical Affairs. This contract role offers the chance to work on impactful studies that contribute directly to publications, conference presentations, and regulatory or pricing submissions in key therapeutic areas such as oncology and cardiovascular disease. With full remote flexibility, a robust pipeline of work through to March 2026 (and potential for extension), this is an excellent opportunity for an experienced programming professional to make meaningful contributions on a global scale.

Your role as Senior Principal Statistical Programmer

• Conduct statistical analyses to support global publication strategies, medical affairs objectives, and health authority submissions.

• Ensure all analyses are delivered to expected timelines and quality standards, adapting to evolving publication and submission plans.

• Translate complex data requirements into well-structured statistical programming outputs using SAS and R.

• Work with clinical study data, applying SDTM and ADaM standards in line with CDISC requirements.

• Collaborate closely with cross-functional stakeholders, proactively managing shifting priorities as new data emerges.

• Prepare analysis datasets from pooled studies, ensuring data integrity across multiple databases.

Experience and qualifications for the Senior Principal Statistical Programmer role

• Degree in statistics, biostatistics, mathematics, computer science, or life sciences; a master's in bio/statistics is a plus.

• Extensive experience supporting clinical research, drug development or post-marketing activities within pharmaceutical, CRO or medical device environments.

• Strong proficiency in SAS and R programming, with demonstrated expertise in CDISC standards (SDTM, ADaM).

• Proven background in handling data from Phase IV interventional or observational studies.

• Solid track record of working with oncology and cardiovascular datasets.

• Skilled in pooling and analysing data across multiple studies and databases.

This is a full-time contract opportunity (40 hours/week), offered on a 100% remote basis, with no travel required. The position starts ASAP and runs until at least March 2026, with potential to extend.

For immediate consideration, or to explore similar contract roles within life sciences, please apply today or reach out directly.