🛠 Tech Stack

💼 About This Role

You'll lead predictive modeling and applied AI efforts at Flatiron Health, shaping digital twin and simulation frameworks that improve cancer clinical development. Your work will directly inform decision-grade solutions for pharmaceutical partners. You'll represent the company at national conferences and drive scientific publications.

🎯 What You'll Do

• Design and validate predictive models for digital twins and patient-level simulations
• Advance methodological strategy for applied AI in RWD/RWE
• Lead client engagements as scientific lead in predictive modeling
• Publish abstracts and manuscripts to establish thought leadership

📋 Requirements

• Advanced degree (MS/PhD) in quantitative field (epidemiology, ML, biostatistics, data science)
• Strong experience with predictive modeling for clinical research (digital twins, trial simulations)
• Proficient in Python or R programming
• Experience with large-scale healthcare datasets (EHR, claims, multimodal)

✨ Nice to Have

• Experience applying predictive modeling to early development, commercial analytics, or HEOR
• Track record of informing drug development decisions (target selection, trial design, go/no-go)
• Experience with clinical trial data management and governance

🎁 Benefits & Perks

• 🕒 Flexible work hours and flexible paid time off
• 💰 Comprehensive compensation package
• 🏦 401(k) contribution for retirement planning
• 🧠 Mental well-being tools and services

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min