Data Scientist

• Experience working with healthcare data (clinical trials or RWE), including familiarity with standard data structures and common data quality challenges.
• Strong foundation in both statistical modeling and machine learning approaches (e.g., regression, classification, regularization, ensemble methods).
• Understanding of RCT methodology, causal inference, and treatment effect estimation.
• Experience working with longitudinal and time-series data, including handling of missing data and irregular observation schedules.
• Proficiency in Python and/or R and experience working in cloud-based data platforms.
• Strong communication skills and ability to translate complex analytical findings for both technical and non-technical audiences.
• A PhD with 1+ year of relevant experience or a Master's with 3+ years of relevant experience.
• Prior experience in pharmaceutical drug development, health economics, or related life sciences fields.

Nice to have:

• Experience building interactive dashboards and data visualization tools (e.g., R Shiny).

• Develop predictive models for treatment outcomes.
• Build and validate machine learning models using clinical trial data.
• Analyze harmonized data from multiple RCTs.
• Support trial design and clinical decision-making through data insights.
• Collaborate with cross-functional teams to enhance data-driven approaches.