Data Scientist – Trial Surveillance & Analytics

Role Overview

The Data Scientist will design, develop, and scale innovative analytics solutions to support clinical trial surveillance, medical monitoring, and safety evaluation. The team is AI-native and uses agentic coding and AI tools to transform complex clinical data into meaningful insights.

What You Will Do

The Data Scientist will partner with cross-functional stakeholders, develop analytical products, apply statistical methodologies, and contribute to the development of integrated analytics platforms.

Why It Might Be a Fit

The ideal candidate will have strong analytical expertise, business acumen, and modern AI-enabled approaches to transform complex clinical data into meaningful insights.

Requirements

• Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field
• 2-5 years of experience in data science, analytics, statistical programming, data engineering, or related disciplines
• Complete or Full / Career proficiency in R, Python or other statistical languages and packages
• Intermediate-level knowledge of statistical and data mining techniques
• Intermediate proficiency with visualization tools such as Spotfire, PyDash/Plotly, or equivalent platforms
• Experience applying machine learning, artificial intelligence, or generative AI technologies to business problems
• Experience developing automated reporting, data products, or end-to-end analytical solutions

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k)
• Long-term incentive programs