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 Senior Investigator Pricing Analyst develops and analyzes pricing strategies for clinical trial investigators, collaborating with teams to assess costs, provide financial insights, and ensure compliance with regulations.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

As a Clinical Research Associate, you will liaise with investigational sites, ensuring compliance, monitoring studies, maintaining documentation, and supporting recruitment efforts in oncology trials.

The Senior Data Engineer will manage and implement changes in enterprise data platforms, focusing on ETL processes, data pipelines, and API integration to ensure data consistency and accessibility across the organization.

Support and optimize clinical and business applications: analyze needs, evaluate releases, perform workflow assessments, develop and execute test plans, manage incidents/changes, provide on-call support, and coordinate application-related projects and implementations.

The Senior Data Engineer designs and optimizes data platforms, collaborates with stakeholders, and integrates AI technologies to enhance data capabilities and operational efficiency.

The Senior Data Engineer will develop and maintain data pipelines, ensuring data quality and enabling data-driven decision-making in research IT.

Lead enterprise forecasting strategy and AI-first platform development for oncology portfolio. Partner with cross-functional leaders to align assumptions, govern models, enable scenario planning, and build a multi-level forecasting team focused on accuracy, transparency, and decision-useful outputs.