Top Healthtech Data & Analytics Jobs in San Francisco, CA

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The Sr. Operations Analytics Manager will enhance billing and account efficiency, analyze complex data, and provide actionable insights to improve financial performance and customer service.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Market Access Analytics Manager develops reports and dashboards utilizing Real-World Evidence for market access, managing end-to-end projects from strategy through analysis and presentation.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.

Design, implement, and monitor QC processes and bioinformatic analyses for high-throughput RNA-based microarray and NGS LDT diagnostic products run in CLIA labs. Develop algorithms, author SOPs and validation documentation, troubleshoot operational issues with cross-functional teams, and build dashboards/visualizations (Tableau, R Shiny) to track lab performance and identify trends.

Lead design, development, validation, and deployment of scalable NGS bioinformatics workflows for regulated diagnostics. Drive assay study design, ML/statistical evaluation, regulatory compliance, documentation, and mentor junior team members.

The Senior Principal Statistician leads statistical aspects of drug development, ensuring scientific rigor and regulatory compliance across clinical trials while mentoring junior staff and collaborating with cross-functional teams.