Top Healthtech Data & Analytics Jobs

The role includes leading financial data architecture and BI systems, automating processes, and driving operational excellence through analytics in healthcare.

Design and maintain data pipelines for analytics and operational decision-making. Collaborate with teams to ensure reliable data systems and governance, utilizing Python and SQL.

The Data Science Intern will support the Business Transformation Team with data flow investigations, business process mapping, document design, and dashboard creation. They will also assist Master Data and RPA teams with various needs.

The Advancement Systems Specialist manages development operations, focusing on data governance and optimizing fundraising through platforms like Salesforce CRM and Raiser's Edge NXT.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The Manager of Clinical Analytics leads data analytics initiatives for healthcare, focusing on improving clinical outcomes and performance metrics. Responsibilities include guiding teams, developing analytics capabilities, ensuring accurate reporting, and fostering collaboration between technical and non-technical stakeholders.

The Data Analyst Intern will support analytics and reporting by validating data, identifying trends, and improving operational processes. This role involves data manipulation using Excel, SQL, and Power BI while addressing discrepancies and contributing to automation efforts.