Top Healthtech Data & Analytics Jobs

The role involves reconciling patient engagement data, codifying billing logic, automating tasks, and collaborating across teams to improve systems and processes.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

The Analyst develops advertising campaigns and pricing strategies, supports client sales, analyzes prescription sales data, and partners with teams to optimize performance.

As Analytics Lead, you'll own analytics within a business function, building data models and dashboards, and delivering actionable insights to drive decision-making and growth.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

The Principal Biostatistician leads biomarker analysis for clinical studies, develops evaluation plans, conducts data analyses, mentors staff, and ensures accurate statistical deliverables while collaborating across teams.

The Associate Director will oversee all data management aspects in clinical trials, ensuring data integrity and collaborating with teams and external partners.

Serve as Chief of Staff and strategic partner to the VP of Customer Engagement & Insights. Lead strategy translation, PMO, operating cadence, governance, budget and vendor management, cross-functional alignment, and process improvements to accelerate omnichannel and AI-driven analytics initiatives across commercial teams.

Lead taxonomy and tagging operations across commercialization systems to ensure consistent metadata standards, drive automation and AI-assisted tagging, manage governance and change control, support cross-functional adoption, monitor tag quality, and improve discoverability and reuse while overseeing vendor and tooling relationships.

Responsible for accurate medical coding, ensuring compliance with guidelines, analyzing records, and maintaining quality coding standards for reimbursement.