Principal Scientist, Predictive Modeling & Applied AI

Posted 10 Hours Ago
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Hiring Remotely in New York, NY, USA
Remote or Hybrid
188K-259K Annually
Expert/Leader
Healthtech • Software • Biotech • Pharmaceutical
Reimagining the infrastructure of cancer care.
The Role
As a Principal Scientist, you will lead predictive modeling and applied AI efforts to enhance cancer care. Responsibilities include design, development, and validation of advanced modeling solutions, client engagement, training, and representing the organization at scientific forums.
Summary Generated by Built In
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.
We're looking for a Principal Scientist in Predictive Modeling & Applied AI to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?
What You'll Do
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. In this role you will propose model designs and select methodological approaches that achieve validity, interpretability, and fit-for-purpose use in clinical development. Specifically, you will:
  • 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

Who You Are
You're a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. In addition, you're a scientific leader and builder with demonstrated expertise in predictive modeling, evidenced by impactful applied work in industry or advanced academic research (e.g., thesis, publications, or equivalent projects). You are equally comfortable shaping strategy, engaging in hands-on technical work, guiding teams, and engaging directly with external partners.
  • 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)

Extra credit
  • 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

Where You'll Work
In this remote position, you have the freedom to choose your preferred work location while aligning your working hours with your team's. For further details on our hybrid work approach and remote work type, please visit the how we work website.
Life at Flatiron
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:
  • 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

In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate inclusion and belonging in the workplace.
Job Compensation Range
Salary Range: $188,000.00 - $258,500.00
Preferred Primary Location: Remote - US general
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.

Skills Required

  • Advanced degree (MS, PhD) in a quantitative field
  • Experience in predictive modeling in industry or research
  • Fluent in predictive modeling approaches like gradient boosting and deep learning
  • Experience developing machine learning solutions for clinical research
  • Familiarity with clinical development operations
  • Experience with large-scale healthcare datasets
  • Proficiency in Python or R programming

What the Team is Saying

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The Company
HQ: New York, NY
2,500 Employees
Year Founded: 2012

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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At Flatiron, attracting and inspiring a diverse team is essential to our success. Our hybrid work approach, built on flexibility and clarity, allows you to choose your office days while optimizing productivity and well-being.

Typical time on-site: 3 days a week
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