Principal Data Scientist, Real World Evidence

Summary

Join Recursion Pharmaceuticals as a Principal Data Scientist and contribute to groundbreaking clinical trial planning and efficacy analysis. Leverage diverse data sources, including real-world data and historical trials, to optimize trial design and inform early development decisions. You will lead enrollment modeling, conduct statistical analyses, and collaborate with cross-functional teams. This role requires a minimum of 5 years of experience in the life sciences industry and expertise in statistical modeling, causal inference, and data visualization. The position offers a competitive salary, bonuses, equity compensation, and a comprehensive benefits package. While based in New York City, remote work is considered with regular on-site visits.

Requirements

• Master’s or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or related field with a minimum of 5 years of experience working with RWD in the pharmaceutical, biotech, or life sciences consultancy
• Demonstrated expertise in analyzing insurance claims, EHRs, and genomic data for drug development insights
• Expert skills in at least one statistical programming tool such as R, SAS, or other languages is a must. Expertise in SQL is also a must
• Experience with BI tools such as Tableau, Power BI, or similar for data visualization and reporting
• Strong understanding of data management platforms and clinical trial management systems
• Excellent analytical and problem-solving skills, with experience in handling large and complex datasets

Responsibilities

• Leverage diverse data sources, including insurance claims, EHRs, omics data, and other real-world datasets, to generate actionable insights to support drug development
• Lead enrollment modeling efforts, applying Monte Carlo Simulations and other approaches to accurately estimate patient enrollment rates, model study timelines, and mitigate recruitment risks
• Regression modeling using patient-level and summary-level (i.e., meta-analysis) data. Propensity score models to correct for imbalances between trial-enrolled population and external data sources
• Manipulate data and effectively report the data
• Work closely with colleagues in Inception Labs, Discovery, Translational Science, Clinical Operations, Clinical Development, Biostatistics, Regulatory teams, and external partners to apply insights to trial design, site selection, and patient recruitment strategies
• Develop clear and actionable reports using BI tools (e.g., Tableau, Power BI) to present insights, enrollment forecasts, and data-driven recommendations to senior leadership and key stakeholders
• Ensure high data quality by cleaning, organizing, and maintaining datasets from various sources, enabling robust analyses and reliable decision-making

Preferred Qualifications

Remote work

Benefits

• Bonuses
• Equity compensation
• Comprehensive benefits package