Top Healthtech Data & Analytics Jobs

The Senior Statistical Programmer leads statistical programming for clinical trial data, ensures quality and standards, mentors junior staff, and handles regulatory submissions.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

As a Senior Data Engineer, you will design, build, and scale data pipelines and analytics capabilities, focusing on data modeling, ingestion, and automation using Python and PySpark in a healthcare context.

The Associate Director leads data and analytics strategies, oversees solution architecture, and collaborates cross-functionally to deliver impactful insights across corporate, finance, and supply chain functions.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

Build, maintain, and monitor data pipelines and REST API integrations across SaaS systems using Azure SQL, Power Platform, Tray.io, and Power BI. Improve data quality, automate workflows, support stakeholders, troubleshoot issues, and document integration standards to enable reliable reporting and analytics.

The Senior Manager of Data Acquisition & Implementation will lead data acquisition initiatives, manage vendor partnerships, ensure data quality, and drive compliance. This role involves overseeing data integration processes, collaborating with cross-functional teams, and promoting best practices in data management.

Lead development and deployment of clinico-molecular data products by applying bioinformatics, ML, and large-scale data integration. Communicate and educate internal and external partners, collaborate with research teams, and build reproducible analytical workflows, QC, and statistical analyses to support biomarker and drug-target discovery.

Work on data engineering projects under mentorship, learn engineering workflows, contribute to integrating generative AI into the data platform, and improve platform productivity through AI-powered capabilities.