Top Healthtech Data & Analytics Jobs

Develop and maintain profitability and cost-allocation models; produce analytics and visualizations to identify profit opportunities; support and troubleshoot the profitability tool for users; provide ad hoc reporting and analytics; partner with stakeholders to improve model accuracy and drive margin-improvement initiatives.

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

Lead enterprise data function, oversee data architecture and engineering, ensure quality and compliance of healthcare data, manage teams, and develop scalable data solutions on Azure.

Lead design and hands-on implementation of scalable data platforms on AWS and Snowflake. Build pipelines, storage layers, and data models; define ingestion, transformation, and quality standards; optimize performance and cost; ensure security and compliance; mentor engineers and partner cross-functionally to deliver production-ready, AI-ready data solutions.

Transform Medicare/CMS claims into reproducible measures and benchmarks for Home Health and Hospice. Build and optimize SQL-based extracts in BigQuery, translate CMS methodologies into analytics, validate metrics against CMS benchmarks, investigate data quality, prepare outputs for BI tools, and collaborate with product and engineering teams.

Build and maintain scalable cloud-native data platforms and pipelines for analytics. Design system architecture, ingest high-volume bounded and unbounded data, optimize performance and cost, write tests and documentation, collaborate with product and EHR specialists, and adopt AI-assisted development tools to improve delivery and quality.

Design, build, and maintain scalable, secure data architectures, models, and ETL pipelines. Integrate diverse data sources, optimize performance and data quality, implement governance, monitor production SLAs, and collaborate with data scientists, analysts, and product teams. Provide technical leadership, documentation, and training to improve engineering practices across the organization.

Redevelop and integrate multiple database systems to interface with the state ERP, cloud-hosted enterprise asset management, and internal applications. Develop queries, stored procedures, and functions; design reliable databases, create documentation and diagrams, ensure performance and agency requirements, and help establish a data warehouse foundation. Position is onsite.

Support the Data team by building and maintaining scalable ETL pipelines and data infrastructure for multi-modal medical datasets, automate data QA, optimize data delivery on cloud platforms, and provide analytics tools and secure cross-border data storage.

Lead Data Engineer/ETL role requiring 5-10 years of Informatica ETL experience. Responsibilities focus on BDM, TDM, data quality, big data, data warehousing, and star schema design. Strong verbal and written communication and a technical bachelor’s degree required. Unix experience is a plus.