Statistical Scientist – Hybrid Pharma R&D (Siena)

GSK; Italia; Ibrido; EUR 52.000 - 80.000; Tempo pieno

Vantaggi offerti da questo lavoro

Smart Working up to 50%

Performance Reward

Flexible Benefits

Healthcare Plan

Pension Fund

Employee Assistance Program

Vaccination clinic

Tax assistance

Nursery agreement

On Site Gym

On Site canteens

Descrizione del lavoro

GSK is seeking a Statistician to provide statistical and mathematical expertise across research projects, translating data into evidence-based decisions. You will collaborate with scientists, contribute to planning, and deliver robust statistical support to align with project goals.

Responsibilities include designing studies, coordinating statistical planning, and ensuring accurate documentation. Strong English communication and a PhD in statistics are advantageous in this hybrid Italy-based

Competenze

• Master's degree in Statistics or Mathematics or equivalent.
• Maintains awareness of current statistical literature and research new techniques.
• Strong statistical expertise with design of experiments and inference methodologies.
• Familiar with Bayesian methods and simulation via open-source tools.

Mansioni

• Ensure appropriate and efficient study designs aligned with objectives.
• Coordinate statistical planning across the team and project development plan.
• Define clear scientific questions; design data collection and analyses to provide evidence.
• Share examples of statistical contributions in internal forums.
• Develop standardization within the team and with business partners.

Conoscenze

Master's degree in Statistics

R programming

Design of experiments

Inference methodologies

Statistical software (R)

English communication

Multidisciplinary collaboration

Formazione

Master's degree in Statistics or Mathematics

PhD in Statistics (preferred)

Strumenti

R

Descrizione del lavoro

GSK is seeking a Statistician to provide statistical and mathematical expertise across research projects, translating data into evidence-based decisions. You will collaborate with scientists, contribute to planning, and deliver robust statistical support to align with project goals.

Responsibilities include designing studies, coordinating statistical planning, and ensuring accurate documentation. Strong English communication and a PhD in statistics are advantageous in this hybrid Italy-based