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We are seeking a highly skilled and analytical Biostatistics Manager to lead statistical analysis planning and execution across our long-term science platforms and operating company clinical research projects. This role is ideal for a data-driven professional with a strong background in biostatistics and a proven track record in the FMCG industry. The role requires the ability to translate findings from clinical studies, working within a small agile core team in a matrix organization.
Job Responsibility:
Lead the statistical analysis plan development and interpretation of results for clinical studies to support product claims and innovation
Develop and implement statistical methodologies for experimental design, data analysis, predictive modelling and insight data mining
Ensure statistical integrity and validity of analysis findings in support of key business claims and innovation platforms
Present findings to internal stakeholders and external partners in a clear and actionable manner
Contribute to scientific publications, white papers, and claims submissions
Collaborate with cross-functional teams including R&D, Regulatory, and operating company experts
Translate statistical concepts and interpretation of study results into user-friendly and/or consumer-friendly language for non-experts
Develop supporting documents, expert letters and summaries leveraging robust statistical findings for product efficacy and safety support
Ensure collaborations with a wider multi-disciplinary team, developing and maintaining appropriate statistical reporting tools to support digital clinical data workflows
Ensure high quality statistical design as a member of the Clinical Science Forum
Requirements:
Master’s or Ph.D. in Biostatistics, Statistics, or a related field
Minimum of 5 years of experience in biostatistics within the FMCG, pharmaceutical, or consumer health industry
Experience working with large-scale clinical datasets
Ability to translate complex statistical concepts into business insights
Strong proficiency in statistical software (e.g., SAS, R, Python)
Experience of using structured storage of Clinical datasets (eg CDISC) desirable
Familiarity with supplement-related research, advertising support and regulatory frameworks is a plus
Strong background in clinical science preferred
Ability to think flexibly to meet shifting priorities and timelines
Problem-solving, troubleshooting skills and ability to find creative solutions
Ability to work successfully in a ‘team-based’ environment
Ability to manage external collaborations and projects
Strong people and networking skills
True passion for innovation
Nice to have:
Experience of using structured storage of Clinical datasets (eg CDISC)
Familiarity with supplement-related research, advertising support and regulatory frameworks
What we offer:
Bonus eligible
Long-Term Incentive (LTI) eligible
Eligible to participate in benefits plan (e.g., health insurance including prescription drug, dental, and vision coverage