Jobs at Tempus AI

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.

Owns RPM growth engineering, shipping enrollment, outreach, engagement, and provider features from concept to production. Shapes scalable architecture, contributes to the Aria AI coach, manages bugs and vulnerabilities, and investigates complex patient support issues. Requires strong full-stack TypeScript skills, product judgment, technical leadership, startup experience, and comfort working across frontend, backend, data, AI, and regulated healthcare systems.

Own and improve the remote patient monitoring platform, including outreach automation, data synchronization, reporting, EHR integrations, monitoring, and clinic support. Lead integrations for larger clients, identify and ship growth opportunities, and maintain reliable production systems. The role requires strong TypeScript skills, AI-assisted development, integration experience, operational ownership, and clear communication with clinicians and support teams.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Lead real-world evidence studies for pharmaceutical clients using complex clinical, molecular, claims, EHR, and registry data. Design observational analyses, derive endpoints, apply survival analysis and causal inference methods, interpret results, and communicate findings to technical and non-technical stakeholders. Develop reusable analytical code and standards while incorporating LLMs and agentic workflows into research processes. Collaborate cross-functionally to improve data quality, products, and RWE methodologies, with a focus on oncology and clinical development.

Lead real-world evidence studies using complex clinical and molecular data, observational study design, survival analysis, causal inference, and machine learning. Collaborate with pharmaceutical partners, derive clinical endpoints, interpret results, develop reusable analytical code, and apply LLM-based tools to accelerate workflows. Communicate findings to technical and non-technical stakeholders through reports, presentations, manuscripts, and conference materials while partnering cross-functionally to improve data quality and analytical practices.

Leads the technical design, development, testing, deployment, and support of Epic Aura integrations for ordering, results delivery, and healthcare data sharing. Collaborates with hospital IT teams, Epic representatives, and clinical users; manages testing cycles, supports go-live and production issues, documents workflows, and provides subject matter expertise and training. Requires Epic build experience, certification, and knowledge of clinical or laboratory interfaces, with HL7, FHIR, and Epic interoperability experience preferred.

Lead clinical rollouts and operational integration of ECG-AI solutions across healthcare partner sites. Manage launch planning, clinical staff onboarding, adoption, account health, care pathway tracking, and relationships with hospital stakeholders. Build scalable operational processes, coordinate cross-functional teams, support strategic initiatives, and contribute to commercial growth, clinical validation, and algorithm expansion.

Provides desktop and remote IT support for employees and clients, including hardware, software, accounts, peripherals, conference-room technology, VOIP, and endpoint security. Maintains IT inventory, ticketing workflows, onboarding and offboarding, documentation, and vendor relationships. Supports executives and IT operations initiatives while troubleshooting macOS, Windows, SaaS, identity-management, network, and mobile-device systems.

Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

Build and operate scalable healthcare data pipelines, dbt models, event-driven services, APIs, and Google Cloud infrastructure. Model and govern multimodal EHR, genomic, and imaging data for AI agents across federated hospital networks. Ensure data quality, lineage, observability, security, HIPAA compliance, and production reliability while contributing to TypeScript application services and agentic workflows.