Top Healthtech Data & Analytics Jobs

The Data Product Manager will manage data life cycle for payer and partner data, ensuring data quality and supporting customer success through effective communication and problem-solving. Responsibilities include handling data requests, attribution management, and data enrichment for healthcare projects.

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

Manage program governance and oversee multiple consulting engagements. Develop project plans, ensure timely delivery, and maintain client relationships. Foster business development through understanding client needs and supporting proposal development.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

The Senior Business Analyst will work with the Healthcare Product team to analyze data, create KPIs, and drive strategic insights for product improvement.

Monitor drug and medical devices safety programs by processing case-related information, ensuring compliance with regulations, and collaborating with stakeholders.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

The Client Insights Lead Analyst will analyze data to drive client growth and revenue and partner with Sales to optimize client strategies.

Lead marketing analytics strategy, perform data analysis, optimize marketing strategies, and provide insights to drive growth and ROI.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.