Top Healthtech Data & Analytics Jobs in Seattle, WA

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Analyzes pharmacy and healthcare data involving utilization, costs, trends, enrollment, incentives, revenue, providers, members, and networks. Develops complex SQL reports, dashboards, data models, validation routines, and reporting systems. Ensures data integrity, automates reporting and validation, communicates insights and recommendations, trains analysts, and supports high-impact pharmacy management decisions. Senior-level incumbents may serve as technical experts, mentors, and project leads.

Develop quantitative market insights through market sizing, forecasting, competitive intelligence, segmentation, and trend analysis. Build analytical models using internal and external data, manage market research engagements, and translate findings into strategic recommendations. Partner with Marketing, Finance, Strategy, and other stakeholders while creating executive-ready presentations and scalable market insights processes.

Leads market sizing, forecasting, competitive intelligence, segmentation, and quantitative analysis for Stryker Medical. Develops market models, evaluates trends and opportunities, conducts primary and secondary research, manages external research vendors, and translates complex data into executive-ready insights. Partners with Marketing, Finance, Strategy, Business Development, and other stakeholders to support strategic planning, portfolio decisions, and growth initiatives while establishing scalable market-insights processes and tools.

Performs complex data analysis, reporting, dashboard development, visualization, data validation, and statistical interpretation for healthcare association stakeholders. Queries and structures data for Tableau, recommends Snowflake enhancements, researches healthcare trends, and supports data collection and integrity processes. The role also trains users, provides technical support, reviews projects, advises analysts, communicates insights, and maintains dashboard systems.

Supports healthcare data client implementations through ingestion, validation, configuration, data quality evaluation, dimensional modeling, and code maintenance using SQL and Python. Contributes to testing, release practices, documentation, and client communications while using AI-assisted development tools responsibly. The role is designed for an early-career professional developing healthcare analytics, engineering, and consulting expertise.

Build, automate, monitor, and optimize batch and streaming data pipelines across cloud platforms and Snowflake. Responsibilities include troubleshooting failures, conducting root-cause analyses, orchestrating ETL/ELT workflows, managing connectors, implementing observability and data-quality controls, optimizing performance and costs, enforcing access controls, documenting procedures, and providing rotational on-call support. The role partners with product, analytics, platform, and architecture teams to deliver reliable enterprise data services.

Supports medical education evaluation and grant-seeking through data manipulation, statistical analysis, reporting, visualization, and stakeholder communication. The role prepares reports, presentations, conference abstracts, and publications using Excel, R, SPSS, SAS, and related tools. It also explores open-ended evaluation questions, manages multiple projects, and applies generative AI to accelerate report drafting, data validation, formatting, and deliverable quality assurance.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

Lead institute-wide data governance, metadata standards, and lifecycle management for large multimodal biological datasets. Own data stewardship, cataloging, and compliance (NIST/HIPAA), drive adoption of standards, advise scientific and technical leaders, and lead cross-functional initiatives to improve discoverability, reuse, and long-term data sustainability.