Jobs at Flatiron Health

Maintain operational tools and metrics to support real-world evidence deliveries; transform data into actionable insights using statistical methods and visualizations; build and support dashboards and data tools; run ad-hoc analyses, experiments, and predictive models; collaborate with cross-functional stakeholders and operations teams to prioritize and improve processes.

Design, build, automate, and operate cloud-native network infrastructure to ensure reliability, performance, and observability. Drive test-driven infrastructure changes, support office networking, participate in on-call rotations, incident escalations, code/config reviews, and produce documentation and playbooks for the engineering organization.

Design, develop, and deploy secure software and data pipelines to transform patient data into real-world evidence. Build web apps and scalable automated pipelines, ensure data quality and tests, address security and privacy constraints, and occasionally deploy and operate solutions at hospital partner sites.

Own net-new OncoEMR sales for smaller community oncology practices end-to-end, support larger deals with the Director of Sales, grow top-of-funnel pipeline, maintain Salesforce opportunity data, and manage partner intake for the Flatiron Vendor Network. Collaborate cross-functionally with Solution Design, Implementation, Interfaces, Marketing, Legal, and BizOps to build sales playbooks, coordinate demos, and drive deals to contract execution.

Lead US technical recruiting for Machine Learning and Software Engineering teams. Source and build talent pipelines, manage candidate relationships and offers, collaborate with hiring managers and TA peers, and support non-technical and early-career hiring as needed.

Design, build, and maintain data solutions and ETL/ELT pipelines to deliver oncology research insights. Collaborate with clinical analysts and scientists, ensure data quality and contractual standards, mentor junior engineers, participate in design/code reviews, monitor CI/CD and observability, and translate ambiguous requirements into technical deliverables.

Provide high-level executive administrative coverage for Executive Team members during absences and support Shared Services programs. Manage complex calendars, travel logistics (domestic/international), expenses, confidential correspondence, process improvements, and event/project coordination to ensure operational continuity.

As Manager of Compliance, you will enhance compliance programs by managing policies, training, and risk assessments while collaborating with teams.

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.

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.

The Payroll & Equity Associate will manage payroll operations, equity compensation processing, and support HR and financial functions for over 3,000 employees, ensuring compliance and accurate data management.

Drive revenue growth with biopharma partners by identifying opportunities, developing proposals, pitching Flatiron RWE solutions, negotiating terms, and supporting client onboarding and use. Coordinate cross-functional teams, collect feedback, support internal strategy, and manage project timelines. Anticipated travel under 20%.

The Health and Wellness Benefits Manager manages benefits administration across multiple countries, ensuring compliance and enhancing employee support through effective programs in HR and benefits.

The Senior Product Designer will enhance clinical workflows in OncoEMR by collaborating with healthcare professionals, conducting user research, and applying AI design tools to improve patient care processes.

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.

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.

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.

Design and build evaluation, observability, and reliability infrastructure for AI/LLM/agent workflows. Define SLOs/SLIs, monitoring, drift detection, testing pipelines, and guardrails. Partner across platform, product, security, and data science teams to enable safe, scalable AI adoption and participate in on-call rotations.

Design, develop, and deploy secure software to transform patient data into real-world evidence. Lead architecture and data extraction/web application efforts, troubleshoot complex hospital infrastructure during on-site deployments, mentor engineers, and collaborate with clinicians, product, and data teams to deliver high-quality data products.

Lead a Germany-based Global Platform Enablement team to evolve platform capabilities for AI enablement and global support. Drive technical direction for reusable AI platform features, architecture, observability, governance, and developer experience while partnering with cross-functional and US-based platform leaders. Build team capability, guide architectural tradeoffs across automation and agentic systems, and ensure operational excellence and alignment with regulatory and regional requirements.