Top Tech Jobs & Startup Jobs in NYC, NY

Lead the development and maintenance of integrations with health partners, manage data sources, and enhance oncology infrastructure, ensuring operational excellence and collaboration across teams.

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.

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.

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.

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.

Design, evaluate, and productionize LLM-based AI products for oncology data. Create custom evaluations, analyze model outputs, collaborate with clinicians and engineers, and support product improvement, monitoring, and stakeholder communication.

Manage and optimize deal desk and order-to-cash processes, supporting Sales and Account Management in quoting, approvals, invoicing, and revenue recognition. Maintain Salesforce accuracy, troubleshoot system issues, launch SKUs, process license upsells, review vendor contracts, and drive process and system improvements to increase efficiency and deal velocity.

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.