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Crea una Job Alert gratuita per statistician - maternity replacement / siena

Statistician - Maternity Replacement

Pubblicato il 04-10-2026 - Glaxosmithkline 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. Find out more: Our approach to R&D;
Job title
Statistician
Location
Siena, Italy
Employment type
Fixed-term (Maternity Replacement), tempo pieno
Closing date for applications
4 October 2026
Position Summary
You will provide statistical and mathematical expertise to support research projects contributing to meaningful scientific outcomes.



You will deliver statistical expertise in alignment with project objectives and translate complex data into clear, evidence-based decisions. You will collaborate with experienced scientists, actively contributing to team discussions and project planning. We value curiosity, clear communication, and a collaborative mindset. Join us to grow your skills, make measurable impact, and help GSK unite science, technology and talent to get ahead of disease together.
Responsibilities
- Ensure that appropriate and efficient study designs are used in alignment with project objectives.
- Coordinate transversally within the team, the statistical planning of different deliverables expected from Research Statistics in alignment with the project development plan.
- Ensure that scientific questions for research objectives are defined clearly and that data collection, statistical methods and analyses are optimally designed to provide statistical evidence to answer those questions.
- Shares examples of statistical contributi

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