Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

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.

Designs, implements, and maintains identity and access management solutions using Okta and Okta Workflows. Assesses and mitigates IAM security risks, supports authentication and authorization best practices, collaborates across business units, and drives IAM initiatives. The role requires expertise in IAM protocols, Terraform, GitHub, security frameworks, compliance practices, and clear communication of complex security concepts.

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.

Leads security engineering architecture and strategy, including IAM, SSO, authentication, authorization, observability, and distributed event-based systems. Drives build-versus-buy decisions, improves security microservices and tooling, establishes engineering standards, and secures agentic AI infrastructure. Collaborates cross-functionally on priorities and tradeoffs while mentoring engineers, documenting practices, evaluating technologies, and advancing security across a cloud-based microservice architecture.

Leads security engineering implementations for identity management, authorization, observability, and microservice security. The role improves security services, frameworks, tooling, and standards; configures Auth0, Okta, Auth0-FGA, Chronicle, Terraform, and GCP; partners with product and engineering teams; and drives reliable, scalable security solutions across the organization.

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.