Jobs at Flatiron Health

Own the global employee relations function, including complex case management, investigations, policy interpretation, escalation resolution, and manager coaching. Develop compliant HR policies and training across the US, UK, Germany, and Japan. Build scalable ER processes, documentation systems, and workflows while analyzing case trends to identify risks and inform people strategies. Partner with Legal, HRBPs, managers, and senior leaders to ensure fair, consistent, empathetic, and legally compliant outcomes.

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.

Provide clinical-genomics subject matter expertise in urologic oncology to inform Flatiron Health product design. Translate guidelines and genomic workflows into product requirements, validate features, collaborate with cross-functional teams, create educational/training materials, support go-lives, and accelerate product development during a six-month contract.

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.

Own data generation infrastructure and QA frameworks for real-world oncology data. Partner with data curation and engineering teams, manage roadmap and migrations, define AI-forward QA strategy, evaluate new tooling, measure impact, and drive alignment across stakeholders to ensure high-quality, scalable RWE pipelines.

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.

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 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.

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.

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.

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.

Support development of research-grade oncology real-world data products: build data models, run and interpret statistical analyses, ensure dataset quality, respond to ad-hoc client analyses, and improve internal processes and tools.

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.

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.

Drive Flatiron's marketing and communications strategy in Japan, focusing on partnerships and operational execution within the healthcare ecosystem, while engaging with various stakeholders.

Apply and validate ML and LLM systems to extract clinical information from unstructured medical notes, develop and productionize ML-derived datasets, collaborate with clinicians and engineers, perform dataset performance analyses, and provide analytic support to cross-functional stakeholders.