Hybrid Clinical Programmer/Analyst — R & Python

GSK; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Healthcare

Pension plan

Shares and savings programme

Job summary

GSK invites applications for a Clinical Programmer/Analyst to design, build and review programming solutions converting clinical and real‑world data into actionable results. You’ll collaborate with statisticians, data scientists and cross‑functional teams to deliver compliant, high‑quality outputs that support pivotal decision making.

The role offers strong growth, a hybrid working model in the United Kingdom, and opportunities to influence data deliverables while adhering to GxP and regulatory

Qualifications

• Degree in Mathematics, Statistics, Computer Science, or related field, or equivalent practical experience.
• Programming experience in pharmaceutical/biotech/CRO with CDISC reporting.
• Proficient in programming languages such as Python and/or R.
• Experience producing validated outputs from clinical or observational datasets.
• Strong attention to detail and ability to perform code reviews.

Responsibilities

• Develop, test and document programming code to transform, analyse and report clinical and real‑world datasets.
• Support SDTM, ADaM and TFL activities including development, validation and review of programs for data conversion, analysis and reporting.
• Produce validated datasets, tables, listings and figures per standards, timelines and change control.
• Review and quality check programming code, outputs and documentation for accuracy and reproducibility.
• Collaborate with statisticians and data scientists to implement analysis plans and best practices.
• Apply knowledge of GxP, ICH and internal processes while supporting agile delivery.

Job description

GSK invites applications for a Clinical Programmer/Analyst to design, build and review programming solutions converting clinical and real‑world data into actionable results. You’ll collaborate with statisticians, data scientists and cross‑functional teams to deliver compliant, high‑quality outputs that support pivotal decision making.

The role offers strong growth, a hybrid working model in the United Kingdom, and opportunities to influence data deliverables while adhering to GxP and regulatory