Senior Real World Data Scientist / Epidemiologist / Biostatistician

dsm-firmenich seeks a Senior Real World Data Scientist to analyze large-scale observational nutrition datasets and apply advanced statistical techniques. The role supports multidisciplinary teams in Human Nutrition and Care through statistical expertise.

Key Responsibilities

• Provide statistical and epidemiological insights on observational nutrition data
• Support project teams with statistical guidance across discovery and development phases
• Integrate data from diverse sources to perform meta-analyses for product development
• Optimize study designs for clinical and observational research
• Collaborate across disciplines to ensure data-driven decision-making
• Participate in external research collaborations globally
• Oversee outsourced data analyses for quality assurance

Requirements

• Master's degree or PhD in Epidemiology, Biostatistics, Data Science, or related field with several years of experience
• Solid R programming skills (essential)
• Familiarity with large-scale cohort data and real-world evidence challenges
• Strong knowledge of regression and causal inference techniques
• Meta-analysis experience
• Excellent stakeholder management abilities
• Fluency in English

Preferred Skills

• Python and SAS programming experience
• Machine learning and advanced analytics expertise
• SQL and cloud platform experience (AWS)
• Git version control knowledge
• Clinical trial data standards (CDISC) and GDPR knowledge