Flatiron Health
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Research Sciences
The Research Sciences (RS) team is a dedicated group of Medical & Scientific Writers, Research Scientists and Statistical Programming professionals with a shared vision to optimize an agile research division that achieves scalable insight delivery while amplifying scientific expertise. Flatiron offers Real-World Evidence (RWE) solutions to biopharma companies, providing tailored datasets and consulting services to meet specific research needs and goals. The RS team conducts real-world evidence studies to address critical research questions across clinical development, market access, and commercial use cases for our life sciences partners. We also enhance clinical trials by using digital solutions that work across various EHR systems.
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Employee Reviews
Meet Melissa Estevez , Senior Research Scientist at Flatiron Health. In this article, Melissa shares her experiences, motivations, and day-to-day work. She also discusses how her work in Research Sciences is shaping the world of cancer care: https://shorturl.at/1wmLe
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What People Are Saying About Flatiron Health
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Mission & Purpose: Feedback suggests RS work is explicitly tied to patient impact in oncology, with teams using principles like “solve problems that matter” and “start with why” to anchor study choices. Projects prioritize decision‑grade real‑world evidence over abstract modeling.
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Learning & Development: Colleagues emphasize norms such as “seek feedback at 30%,” structured onboarding, and cross‑disciplinary teaming across epidemiology, statistics, and ML that accelerate skill growth. Team stories highlight mentoring and knowledge‑sharing as part of daily RS workflows.
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Work-Life Balance: Team materials describe a hybrid‑friendly setup where RS groups choose when to collaborate in person versus remotely to support productivity and well‑being. Durham examples note flexible hours that help balance focused work with family time.
Recently posted jobs
21 Hours AgoSaved
Healthtech • Software • Biotech • Pharmaceutical
Senior ML engineer building and deploying deep learning models (transformers, foundation models, transfer learning) for oncology real-world data. Responsibilities include research and development of predictive models (digital twins, endpoint prediction, trial optimization), extending models across data sources, supporting client engagements, and partnering with product and engineering to productionize reproducible, maintainable solutions while communicating results to technical and non-technical stakeholders.
Healthtech • Software • Biotech • Pharmaceutical
Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.
Healthtech • Software • Biotech • Pharmaceutical
Design and build complex, business-critical data pipelines and tooling; expand Deep Learning and LLM extraction for clinical insights; collaborate with clinicians, product, and scientists; shape team roadmaps and grow European engineering; iterate rapidly while maintaining quality, security, and compliance with healthcare data requirements.
At a glance
research sciences internship program
The RS internship program is designed for students pursuing advanced degrees in fields such as biostatistics, epidemiology, health economics and outcomes research, and health policy. As a member of the RS team, specifically focusing on supporting real-world oncology studies within Epidemiology and Biostatistics, you will collaborate with a variety of cross-functional professionals to develop, analyze, and research studies. If you possess skills in epidemiology and biostatistical methods, data analysis, and effective communication, have a strong attention to detail and adaptability to complex challenges, we want to meet you.
