Top Healthtech Data & Analytics Jobs

Support development and maintenance of data pipelines, ETL processes, and data integrations. Assist with data infrastructure (databases, warehouses, lakes), implement data validation and quality checks, participate in code reviews, document processes, and collaborate with engineers and analysts while learning and following established standards.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

Lead and grow the BI team to define and execute analytics strategy, deliver scalable Microsoft-based BI solutions, partner with business stakeholders to drive data-driven decisions, and ensure data governance, quality, and HIPAA compliance across healthcare-focused analytics products.

Design, build, and maintain backend systems and data interactions for healthcare reporting. Develop APIs, data models, ETL pipelines, and interfaces; optimize performance, ensure data integrity and security, and support automated testing and CI/CD. Collaborate in Agile teams and reduce technical debt while enabling integrations with frontend and third-party systems.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

The Manager, Client Analytics leads analytics initiatives for pharmaceutical and agency clients, delivering insights, managing client relationships, and ensuring data accuracy.

The Director of Data & Digital Enablement at Ipsen leads the data and digital strategy, manages cloud data platforms, and collaborates across departments to optimize data architecture and solutions.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

The Data Scientist will translate business questions into analytical frameworks, design solutions, deploy machine learning applications, and collaborate with teams to improve methodologies.

Design, support, and improve data analytics solutions (OAC and Power BI). Manage data ingestion, ETL, data quality, access, and documentation. Liaise with stakeholders, migrate dashboards from OAC to Power BI, and follow SDLC and project management practices.