Key Responsibilities

• Collaborate with research scientist(s) and other statistician(s) of the team on in-vivo and in-vitro studies conducted to generate preclinical evidence to move a vaccine research project towards development, by contributing to the overall preclinical plan and to the study designs, by justifying the sample sizes and defending fit-for-purpose analysis plans, by performing and interpreting statistical analyses, by writing reports, and by contributing to briefing documents.
• Collaborate with research scientist(s) and other statistician(s) of the team on the development of biological assays, by contributing to the conception of the overall plan and of experimental designs, by proposing and defending fit-for-purpose analysis plans, by performing and interpreting statistical analyses, by writing reports, and by contributing to briefing documents.
• Perform and report statistical analyses following closely the analysis plan established by other team members and research scientists. Speak up when unexpected data or results appear, or if any unclarity need to be discuss to perform the analysis correctly.
• Communicate appropriately with other team members operating on the same projects, same technologies, or facing similar challenges.
• Comply to the verification process dedicated to the preclinical study activities and use the dedicated application appropriately.

Why You

Qualifications

Education

• At least a Masters Degree in Biostatistics (Statistics) OR in a Scientific Discipline with tangible experience applied statistical modelling.

Knowledge

• Statistical softwares used are R and SAS, knowing both is an asset. Interest in automation (e.g., R package, shiny app or SAS macro development) is also an asset.
• Ability to work in multidisciplinary team (task forces, working groups, team projects, some being remotely located).
• Ability to manage a project, to give guidance to non-statisticians, to provide feedback and to engage.
• Good oral and written communication in English, including ability to explain difficult issues and situations clearly.

Experience

• Expertise in animal experimentation or in clinical studies is a plus.
• Experience in applying statistical modelling (including mixed models) on real data, vizualizing data in a comprehensive way to non statisticians, and computing sample size and power of experiments.
• Familiarity with Bayesian statistics is an asset.

Why GSK

Uniting science, technology and talent to get ahead of disease together

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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