Top Remote Healthtech Data & Analytics Jobs

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

The Director of Analytics leads a team to generate insights using healthcare data, supports product development, and engages with clients, leveraging advanced analytics to inform decision-making.

The Pricing Director develops and implements pricing strategies, collaborates with various departments for financial success, and analyzes market conditions to optimize profitability.

The Associate BTO Project Manager oversees project execution in data governance, coordinates cross-functional teams, enhances data quality, and drives continuous improvement initiatives.

Support federal benefits programs by executing eligibility, claims, and financial reports; collaborate across stakeholders, document processes, identify improvements, and assist with reporting and benefits implementation tasks.

The Portfolio Product Analyst partners with product teams to measure feature success, analyzes data from various platforms, and enhances user experience through reporting and insights.

The Senior Data Integrity Analyst will enhance data accuracy, manage regulatory compliance, and improve product traceability in Stryker’s Endoscopy Division, leading initiatives and engaging cross-functional teams.

The Data Solutions Engineer II develops data warehouse solutions, focusing on ETL, data modeling, and reporting while ensuring data quality and security.

The Data Governance Liaison ensures data governance accuracy and compliance, automates data catalog processes, conducts audits, and promotes awareness within the organization.

The Data Engineer role involves designing, implementing, and optimizing data infrastructure and pipelines on Azure, ensuring performance and compliance.

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.