Principal Data Scientist, Real World Evidence

• Develop and manage a portfolio of RWE projects leveraging real-world data (RWD) and related sources
• Incorporate cutting-edge scientific and technological advances to propose new ideas and initiatives
• Lead end-to-end RWE studies: research questions, data feasibility, design, analysis, programming, interpretation
• Analyze data to support urgent stakeholder requests and provide actionable insights
• Ensure quality in design, execution, and publication of RWE studies, and validate models/tools
• Create study protocols and statistical analysis plans; deliverables include statistical programming outputs
• Communicate complex methods and results clearly to diverse audiences to enable decisions
• Align RWE generation with regulatory standards and scientific expectations

• PhD in a quantitative field or Master's (2+ years post-PhD or 4+ years for Master) in biopharma, RWE consulting, or healthcare
• Experience designing and executing studies using real-world healthcare data (claims, EHR, registries)
• Hands-on data engineering and data analysis experience
• Proven track record delivering high-impact data science projects
• Proficiency in R or Python, SPARQL, Cypher
• Excellent interpersonal, communication, and presentation skills
• Experience with predictive analytics (ML/DL/forecasting)
• Familiarity with drug discovery and clinical development processes in oncology, immunology, neuroscience, or ophthalmology
• Hands-on experience with graph neural networks and graph ML methods; bioinformatics exposure with pathway/enrichment analyses

• annual bonus
• vacation days
• parental leave (min 12 weeks)
• bereavement leave
• well-being reimbursement
• insurance plans

Principal Data Scientist, Real World Evidence * Madrid, ES

full_time