All Teams

Medical & Clinical

Our medical and clinical professionals play a critical role in applying their expertise to drive Flatiron’s products forward, while our part-time abstractors work behind the scenes to convert de-identified, unstructured data to structured data by extracting key data points from clinical documents.

Employee Reviews

Ivy Altomare

The scientific talent at Flatiron is truly unmatched, in my opinion, and there are so many opportunities for interesting collaborative research. It is invigorating to work with such a high concentration of prolific data scientists who are resourced specifically to tackle some of the most difficult and pressing challenges in cancer care today.

Ivy Altomare, Head of Research Oncology, Clinical Research


Meet Ivy Altomare, MD, Head of Research Oncology, Clinical Research at Flatiron Health. In this article, Ivy shares her experiences, motivations, and day-to-day work. She also discusses how her work in Oncology is making a significant impact on cancer research and care: https://shorturl.at/rcogH

YesterdaySaved
Hybrid
New York, NY, USA
Healthtech • Software • Biotech • Pharmaceutical
Manage a portfolio of oncology RWD projects, design RWE solutions, optimize processes, and liaise between technical teams and clients to enhance cancer care outcomes.
3 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Healthtech • Software • Biotech • Pharmaceutical
Senior Data Scientist embedded in international teams to ingest, validate, and transform partner oncology data into research-grade datasets. Build and automate scalable pipelines, apply ML/LLM techniques to unstructured EHR data, and collaborate with cross-functional stakeholders to develop and deploy real-world data products.
3 Days AgoSaved
Hybrid
Tokyo, JPN
Healthtech • Software • Biotech • Pharmaceutical
Design, develop, and deploy secure software to transform patient data into real-world evidence. Lead architecture and data extraction/web application development, troubleshoot hospital deployments and complex network constraints, mentor engineers, and collaborate with clinicians, product, and data teams.