Flatiron Health · 1 month ago
Senior Epidemiologist/Biostatistician, Machine Learning Quality
Flatiron Health is focused on improving cancer care through innovative data solutions. The Senior Research Scientist will work within the Research Sciences department to enhance real-world data solutions and ensure the quality of datasets, collaborating with various stakeholders to drive improvements in oncology data curation.
BiotechnologyCloud ComputingElectronic Health Record (EHR)Health CareHealth DiagnosticsHospitalPersonal Health
Responsibilities
Develop and own the roadmap to assess quality of LLM-extracted datasets and prioritize resourcing for executing against roadmap
Design and execute studies to characterize the quality and fit-for-purpose of RWD solutions
Have accountability for the accurate, effective and timely execution of quality-related analyses by other team members
Develop a deep understanding of dataset quality and fitness-for-purpose based on the portfolio of quality analyses
Drive successful adoption of scaled RWD solutions for internal and external users, including via internal analytic guidance and product improvement opportunities
Work collaboratively with cross-functional stakeholders such as project managers, ML model developers and oncologists
Build subject matter expertise in real-world data curation approaches and fit-for-purpose of Flatiron panoramic data solutions for real-world evidence use cases
Identify and lead improvement initiatives that introduce efficiency into our ways of working and accelerate our ability to generate fit-for-purpose scaled RWD solutions
Lead discussions with clients about the utility of panoramic solutions for customer use cases
Qualification
Required
You hold a PhD degree in Epidemiology, Biostatistics, Health Economics and Outcomes Research, or a closely related field with 3-4 years of relevant experience (can include work experience before graduate school) or a Master's degree in one of these fields with 6 - 8 years of relevant experience
You have a deep understanding of observational data and have a track record of success applying epidemiologic approaches to problems in public health and/or pharmacoepidemiology
You have a strong knowledge of time to event analysis methods and other epidemiological methods commonly used in retrospective real world evidence generation
You are familiar with AI/ML tools used for unstructured data processing
You have strong problem solving skills and have experience breaking down complex ambiguous problems and driving towards results in a complex stakeholder environment
You are proficient programming in R
You have strong communication, organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion
You can demonstrate agility and devise a path forward without having every detail
You have the ability to work effectively in a constantly changing, diverse, and matrix environment
You are able to quickly learn and apply new information, skills and procedures
You are passionate about our mission to improve healthcare through technology
Preferred
You have oncology experience
You have experience working in a pharmaceutical/HEOR consulting environment
Company
Flatiron Health
Flatiron Health is a healthcare technology company that aims to improve lives by learning from the experience of every cancer patient.
H1B Sponsorship
Flatiron Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (17)
2024 (28)
2023 (16)
2022 (27)
2021 (29)
2020 (33)
Funding
Current Stage
Late StageTotal Funding
$324.95MKey Investors
RocheGoogle Ventures
2021-12-23Series D· $11.95M
2018-02-15Acquired
2016-01-06Series C· $175M
Leadership Team
Recent News
2025-12-09
2025-12-06
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