Sr. Non-Clinical Biostatistician

Role Summary

Sr. Non-Clinical Biostatistician supporting Vaccine R&D within the Translational and Early Development (TED) team. Provides statistical design, analysis, and interpretation for preclinical and non-clinical studies, collaborating with scientists and project managers to ensure regulatory-compliant decisions. Oversees statistical operations and supports data-driven decision making under supervision of senior TED leadership.

Responsibilities

• Lead statistician for preclinical/non-clinical statistical requests and related matters with minimal supervision.
• Develop digital mindset and data science capabilities for clients; support digital evolution of the site.
• Perform technology watch on data science topics and act as referent for data platforms.
• Provide statistical input in experimental design for in vivo/in vitro preclinical studies, bioassay development (clinical, analytical, CMC).
• Contribute to study setup to ensure data are captured to address objectives.
• Provide statistical support for experimental design, methodology, programming, and data analyses; prepare analyses and reports.
• Oversee statistical operations including sample size calculations, randomization plan compliance, and delivery of statistical reports.
• Ensure statistical content quality: select methodologies, assess risk, interpret results, perform exploratory/ad-hoc analyses.
• Collaborate with internal and external stakeholders (R&D compliance, project managers, CROs, etc.).
• Participate in project activities under supervision, including development plans, decision meetings, integrated analyses, dossier preparation, IND/CTD submissions, and publications.
• Representative in TED and GBS initiatives; present statistical topics internally and externally.

Qualifications

• Master's degree in Statistics with 4 years industry experience OR PhD in Statistics/Biostatistics with internship in life science.
• Experience in Life Sciences industries is a must.
• Technical expertise in statistics, data science, statistical modelling, etc.

Skills

• Good communication skills; ability to work in a multi-cultural environment; team-oriented; autonomous.
• Strong time management and willingness to learn.
• Statistical Tools: R, JMP; familiarity with SAS or Python is a plus.
• Language: Effective English in verbal and written communication.

Education

• Master's degree in Statistics with 4 years industry experience OR PhD in Statistics/Biostatistics with internship in life science.