Sr. Non-Clinical Biostatistician

Role Summary

Sr. Non-Clinical Biostatistician supporting Vaccine R&D within the Translational and Early Development (TED) team. Leads statistical input for preclinical and non-clinical studies, collaborates with scientists and project managers, and ensures regulatory-compliant design, analysis, and reporting. Provides methodological and statistical direction for in vivo/in vitro studies, bioassay development, and biomarker research.

• Act as the Lead Statistician providing support with minimal supervision on statistical requests and relevant statistical matters for the Preclinical and Non-clinical teams.
• Develop the digital mindset and data science capabilities of clients (communications, training, etc.).
• Support the digital evolution of the site within its scope of activity.
• Perform technology watch on data science topics and serve as the referent for the platform.
• Provide statistical input in the design of experiments for preclinical studies and/or clinically relevant bioassay development.
• Contribute to study setup to ensure data are adequately captured to address study objectives.
• Provide statistical support for experimental design, methodology, programming, and data analyses.
• Produce statistical analyses, write memos/reports, and communicate statistical conclusions to scientists.
• Accountable for statistical operations including sample size calculation, randomization plan (if applicable), and delivery of statistical methodology and reports.
• Ensure statistical content quality: select appropriate methodologies, drive risk assessment, interpret results, and perform exploratory/ad-hoc analyses as needed.
• Coordinate with internal and external stakeholders (R&D compliance, Project Manager, CROs, etc.).
• Under supervision, participate in project activities such as preclinical development plans, decision meetings, integrated analyses, dossier preparation, and publications.
• Represent TED and GBS in internal initiatives and present topics related to statistical activity.

• Education:
  
  Master’s degree in Statistics with 4 years of industry experience OR PhD in Statistics/Biostatistics with internship in life science.
• Experience:
  
  Experience in Life Sciences industries is required; technical expertise in statistics, data science, and statistical modeling.

• Soft Skills:
  
  Good communication, ability to work in a multi-cultural environment, teamwork, eagerness to learn, good time management, autonomous.
• Statistical Tools: R, JMP, and other software (e.g., SAS or Python) are a plus.
• Language:
  Effective English in verbal and written communication.

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