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Programmer

Pubblicato il 07-09-2026 - Biopharma Careers in Siena

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D; focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Si candidi rapidamente per massimizzare le sue possibilità di essere considerato/a per un colloquio. Legga la descrizione completa del lavoro qui sotto.
Find out more: Our approach to R&D;
Job title: Programmer
Location: Siena, Italy
Employment type: Permanent, tempo pieno
Closing date for applications: 6 September 2026
Position SummaryYou will design, build and validate programming solutions that turn clinical and real-world data into clear,



trustworthy results. You will work closely with statisticians, data scientists, study teams and external partners. We value curiosity, practical problem solving and clear communication. This role offers growth in technical skills, chances to influence study decisions, and the opportunity to make meaningful contributions to our mission of uniting science, technology and talent to get ahead of disease together.
Responsibilities
- Develop, test and document code to transform, analyse and report clinical and observational datasets.
- Produce validated datasets, tables, listings and figures that meet agreed standards and timelines.
- Support SDTM, ADaM and reporting activities, including study and standard program development, validation and review.
- Review and quality check code, outputs and documentation to ensure accuracy and reproducibility.
- Collaborate with statisticians, data scientists and stud

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