Flatiron Health

Flatiron Health

HQ
New York
Total Offices: 5
2,500 Total Employees
Year Founded: 2012
All Teams

Partnerships & Customer Success

At Flatiron, we care about our customers. Whether it’s collaborating with our biopharma partners in advancing their research priorities or supporting partners using our point of care products, our customer success and partnerships teams play an essential role throughout our product ecosystem.

Employee Reviews

Nathan Hobrath

Solving for the technology gap between clinical research systems and EMR systems, combined with using real-world evidence to make highly informed, confident clinical development decisions, make Flatiron a very unique clinical research partner for biopharma companies.

Nathan Hobrath, Associate Principal of Clinical Research Partnerships


Meet Nathan Hobrath, Associate Principal, Clinical Research Partnerships at Flatiron Health. In this article, Nathan shares his experiences, motivations, and day-to-day work. He also discusses how his work in Clinical Research Partnerships is making a significant impact on cancer research and care: https://shorturl.at/twEi1

36 Minutes AgoSaved
Remote or Hybrid
Berlin, DEU
Healthtech • Software • Biotech • Pharmaceutical
Extract, curate, and ensure high-quality structured and unstructured oncology clinical data from EHRs. Develop and update curation instructions and capture forms, support QA processes, pilot new extraction approaches, contribute insights to product and ML/LLM-enabled curation, and collaborate with cross-functional teams to maintain and deliver high-quality datasets for research.
37 Minutes AgoSaved
Hybrid
Durham, NC, USA
Healthtech • Software • Biotech • Pharmaceutical
Lead end-to-end global employee relations: manage complex investigations and case resolution, coach managers, update policies for multi-country compliance, design scalable ER processes and systems, surface trends from ER data, and partner with Legal and HRBPs to reduce risk and improve employee experience.
Healthtech • Software • Biotech • Pharmaceutical
Build and maintain evaluation frameworks, observability, and reliability practices for AI/LLM-powered workflows. Define metrics (SLOs/SLIs), monitor drift and hallucination risk, design guardrails for multi-agent systems, support model selection and platform integration, and collaborate across product, security, and data science teams while participating in on-call rotations.