Flatiron Health - Be the next changemaker in cancer care
Flatiron Health Logo

Flatiron Health

Principal Scientist, Predictive Modeling & Applied AI

Posted 21 Hours Ago
Remote or Hybrid
Hiring Remotely in New York, NY
188K-259K Annually
Expert/Leader
Remote or Hybrid
Hiring Remotely in New York, NY
188K-259K Annually
Expert/Leader
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.
The summary above was generated by AI
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.

Similar Jobs at Flatiron Health

23 Days Ago
Remote or Hybrid
50-50 Hourly
Mid level
50-50 Hourly
Mid level
Healthtech • Software • Biotech • Pharmaceutical
Develop and deliver training content for abstractors using authoring tools. Manage LMS and resolve related issues while collaborating with teams to enhance content process.
Top Skills: Articulate Rise 360DoceboScormWalkme

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account