Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

The Sr. Statistical Programmer will develop, validate, and maintain SAS programs for clinical trial data, ensuring compliance with regulatory standards and supporting statistical analyses and reporting.

As a Senior Data Engineer, you'll manage, optimize, and expand data infrastructure for a clinical data registry, focusing on enhancing data systems and reliability while developing new capabilities.

Lead the Office of Institutional Research & Analytics at Harvard University, overseeing strategic analytics projects, managing teams, and advising on data integration and reporting processes.

The Senior Director, Business Analytics leads enterprise analytics for Scholar Rock's commercial launch, defining strategies that support decision-making and growth initiatives.

Lead analytical method validation and drive process excellence initiatives. Collaborate with CDMOs, support quality systems, and manage documentation for regulatory compliance.

The Sr. Manager, Monitoring and Analytics will execute monitoring controls, develop analytics frameworks, and collaborate with various teams to ensure accurate reporting and issue resolution.

The Associate Manager will lead the implementation of Master Data Management systems, manage client projects, coordinate with data vendors, and provide mentorship and insights to optimize commercial operations for life sciences companies.

The Director, Forecast & Research will lead forecasting, market research, and insights generation for Xenon's epilepsy portfolio, collaborating with cross-functional leaders to deliver actionable analytics.

Design and evaluate marketplace algorithms for matching, pricing, and forecasting. Build price-estimation and demand/supply models, clean and analyze operational data, run simulations and counterfactuals, and collaborate with engineering to deploy model-driven systems that scale.

The Principal Analytics Architect will lead the design and implementation of data architecture and analytics solutions, ensuring integration and scalability, while collaborating with technical and business teams to establish best practices and drive data insights.