Top Data & Analytics Jobs in Raleigh, NC

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

Lead engagement initiatives for data governance and quality at MetLife, collaborating with various stakeholders to implement policies and ensure data integrity.

The Clinical Data Specialist interprets and organizes clinical oncology data, develops real-world data variables, ensures data quality, and improves data models while collaborating with the Clinical Data team.

Manage client engagements focusing on pricing strategies and market access optimization for pharmaceutical assets, while mentoring teams and ensuring quality deliverables.

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

The Global Performance Analytics Lead manages laboratory performance analytics, validates KPIs, communicates with stakeholders, and oversees improvement initiatives across global labs.

The Regulatory Compliance Analyst oversees AI governance and third-party risk management, supports compliance activities, and collaborates with leadership to improve risk and compliance processes.

As an Associate Value Engineer, you'll consult with clients on Celonis solutions, develop AI prototypes, and manage customer accounts to improve business processes.

The Senior Data & Reporting Analyst will create dashboards and reports, analyze sales data, and support strategic decisions in a collaborative environment.

The Principal Biostatistician provides statistical support for early phase drug development programs, writing protocols and analyzing data using SAS and R, ensuring compliance with regulatory standards.

Contribute to pharmacometric analysis for clinical studies, consult on study design, and ensure integration of pharmacometric information into drug development.

Manage feasibility activities for clinical trials, ensuring high-quality outputs by collaborating with teams, analyzing data, and mentoring staff.