Principal Scientist Predictive Modeling & Applied AI

• 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

• 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)

• You have experience applying predictive modeling to other drug development areas of practice including Early development Commercial Analytics and HEOR
• You have a track record of applying predictive modeling to inform key drug development decisions across the lifecycle (e.g. target selection trial design go/no-go decisions launch readiness)
• You have experience in clinical trial data management analytics and governance

• 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

What We Do

Flatiron Health is a healthtech company dedicated to helping cancer centers thrive and deliver better care for patients today and tomorrow. Through clinical and data science we translate patient experiences into real-world evidence to improve treatment inform policy and advance research. Cancer is smart. Together we can be smarter. Flatiron Health is an independent affiliate of the Roche Group.

Why Work With Us

Reimagine the infrastructure of cancer care within a technology and science community that values integrity inspires growth and is uniquely positioned to create a more modern connected oncology ecosystem.

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