Top Tech Jobs & Startup Jobs in NYC, NY

Lead product strategy, roadmap, and delivery for Tempus’ Data Platform Edge Appliance and Edge API. Own secure, scalable healthcare data exchange using FHIR, HL7, DICOM, and related integration technologies across on-premises and cloud environments. Partner with engineering, AI, data science, clinical, and external integration teams to improve ingestion, processing, delivery, reliability, adoption, and deployment workflows. Define requirements, KPIs, launch strategies, stakeholder communications, and change management processes.

Administer and engineer Google Workspace in a large, complex enterprise environment. Serve as a Tier 3 escalation point, manage security policies, compliance, monitoring, automation, Chrome devices, and integrations. Lead end-to-end migrations from Microsoft platforms and between Google domains, including planning, data mapping, cutover, validation, and migration tooling. Collaborate with security and IT teams to secure and optimize Workspace services while communicating technical issues to stakeholders.

Lead full-cycle recruiting for sales, commercial, data sales, and customer success roles. Partner with senior sales leadership to define hiring strategies, source candidates, manage interviews, negotiate offers, and provide market insights. Maintain recruiting metrics and candidate records in Workday, manage multiple requisitions across geographies, support employer branding and DEI initiatives, and deliver a high-touch candidate experience.

Designs and implements customer data science and analytics solutions on Tempus’s Lens precision medicine platform. Guides academic and foundation partners through onboarding, training, data filtering, research use cases, and platform adoption. Collaborates with data science, operations, medical science, and real-world data teams while providing technical guidance to researchers and executives. Requires expertise in genomic and clinical data, cloud computing, statistical modeling or machine learning, software development, and customer-facing project management.

Leads strategy and roadmap for diagnostic healthcare software products, including EMR/EHR integrations. Develops product and business strategies, gathers customer and market insights, manages software development and lifecycle processes, and ensures regulatory, security, and HIPAA compliance. Collaborates with cross-functional teams and stakeholders to resolve technical issues, drive innovation, and deliver product improvements. Requires healthcare IT and product management experience, EMR/EHR integration expertise, and familiarity with FHIR, HL7, and related standards.

Leads HR strategy and execution for the Data & Applications business unit, partnering with the CEO and executive team on organizational design, workforce planning, talent strategy, engagement, performance, and commercial growth. Manages and develops 2–3 HR Business Partners, uses people and commercial data to guide decisions, and collaborates with People functions including Talent Acquisition, Compensation, Legal, Talent Development, and People Operations.

Develop and validate clinical heuristics and algorithms using real-world healthcare data. Build Python profiling pipelines, automated data-quality checks, and longitudinal patient cohorts. Analyze complex clinical databases and ETL pipelines, evaluate AI, NLP, and heuristic outputs, and collaborate with clinical, labeling, engineering, and data science teams. Maintain documentation, configuration, metrics, and validation standards for transparent, high-quality clinical analytics.

Research, design, train, and deploy multimodal AI models using clinical and molecular data to support precision medicine, biomarker discovery, therapy outcome prediction, and companion diagnostics. The role requires collaboration with life sciences companies, regulatory alignment for healthcare products, and publication of original research. Responsibilities include working with pathology slides, genomic profiles, spatial omics, and longitudinal patient records while contributing hands-on model development and product-level engineering.

Leads health economics and outcomes research and real-world evidence projects for pharmaceutical, biotech, academic, and other partners. Designs and analyzes pharmacoepidemiologic studies, treatment patterns, healthcare utilization, causal inference, and survival analyses. Builds reusable analytical infrastructure, collaborates with scientists, engineers, and product teams, interprets results for stakeholders, supports publications and regulatory work, and ensures compliance with data governance and applicable regulations.

Supports healthcare feasibility analytics by translating clinical and genetic cohort requirements into SQL queries, data transformations, visualizations, and actionable insights. Analyzes EMR, genomic, laboratory, and claims data; maintains dashboards and workflows; supports data quality assurance; and documents processes for post-sale development. Collaborates with clinical, research, business development, and technical teams while developing oncology and clinical genomics expertise.