Principal Scientist, Predictive Modeling – Applied AI

Flatiron Health

Principal Scientist leading predictive modeling and applied AI at Flatiron Health. Innovating solutions for clinical development in oncology care.

Posted 5/7/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $188,000 - $258,500 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

In this role, you will operate as a scientific leader within the Research Sciences (RS) organization, supporting our Scientific Engagement and Applied Research (SEAR) function, innovating and translating predictive modeling approaches—such as digital twins and other advanced simulation frameworks into decision grade solutions for pharmaceutical and academic partners.
Lead the design, development, and validation of advanced predictive modeling solutions, for digital twins and other patient-level simulation approaches, in clinical development and adjacent use cases (e.g., trial design, cohort selection, endpoint prediction, treatment effect estimation, etc.))
Advance a methodological strategy against existing and future use cases for applied AI in RWD/RWE by appropriate application of machine-learning, deep learning, causal inference, and multimodal modeling approaches
Ensures that prediction models are scientifically rigorous, clinically grounded, and aligned to decision-oriented use cases
Serve as a scientific lead in client engagements, working closely with our Life Sciences Partnership team to apply, or proactively develop, Flatiron’s modeling strategies and solutions to biopharma clinical development needs
Translate complex methodological concepts into clear, decision-relevant insights for technical and non-technical stakeholders through presentations, reports and other modes of engagement
Act as the organization’s external scientific engagement lead for predictive modeling and applied AI, representing the company at national and international conferences, industry forums, and through publications and scientific communications
Lead authorship of abstracts, manuscripts, and external publications, establishing Flatiron as a leader in applied AI and predictive modeling
Develop and disseminate training on the application of predictive models and applied AI solutions to multiple cross-functional partners in a highly matrixed environment
Partner with Product, Engineering, and Data teams to shape reusable capabilities into existing or novel scalable platforms for predictive analytics

Requirements

What you’ll need

You have an advanced degree (MS, PhD, or equivalent experience) in a quantitative field (e.g., epidemiology, machine learning, biostatistics, data science, applied mathematics), or demonstrated equivalent expertise through applied work in predictive modeling in industry settings, including work with pharmaceutical or life sciences organizations, or academic/ healthcare systems
You are fluent across a spectrum of predictive modeling approaches spanning gradient boosting (e.g., XGBoost), deep learning (e.g., neural networks for multimodal clinical data), and advanced statistical methods for longitudinal/ time-to-event data
You have strong experience in developing machine learning or predictive modeling solutions for clinical research or clinical care applications such as digital twins, clinical trial simulations
You have strong familiarity with clinical development operations and processes, including clinical development planning, clinical trial design and analysis.
You have strong experience in RWE methods in oncology, and are familiar with variables and endpoints commonly used in oncology RWE research, observational studies and their intersection with randomized controlled trials
You are comfortable operating in a matrixed, fast-paced environment and balancing multiple high-priority initiatives
You are proficient in Python OR R programming
You have experience with large-scale, longitudinal healthcare datasets (e.g., EHR, claims, or multimodal data)

Benefits

Comp & perks

Work/life autonomy via flexible work hours and flexible paid time off
Comprehensive compensation package
401(k) contribution to help you reach your retirement planning goals
Financial health resources including 1:1 financial advice
Mental well-being tools and services
Parental benefits and policies including family-building care and generous leave
Path to parenthood programs supporting fertility, adoption and surrogacy
Travel support for safe healthcare services

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Hard Skills & Tools

predictive modelingmachine learningdeep learningcausal inferencemultimodal modelinggradient boostingstatistical methodsclinical trial simulationsR programmingPython

Soft Skills

scientific leadershipcommunicationpresentation skillscollaborationtraining developmentclient engagementproblem-solvingadaptabilitystrategic thinkingcross-functional partnership