Top Hybrid Data & Analytics Jobs in Boston, MA

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

The PLEXOS Modeling Consultant develops and evaluates models using PLEXOS software, collaborates with teams on modeling strategies, translates data into visual formats, and communicates findings to clients, promoting solutions to energy-related issues.

The Statistical Programmer will lead programming support for clinical data analysis, ensuring compliance, managing CROs, and developing automation tools. Requires SAS expertise.

Lead Harvard's data governance program: convene executive and steward groups, develop enterprise data strategy, set policies/standards, improve metadata and data quality, ensure privacy/compliance, measure governance effectiveness, and drive change across the university.

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.

Manage clinical data management efforts, oversee database activities, develop eCRF content, and direct CRO data management teams to ensure quality deliverables.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

The Sr. Analyst II will extract and analyze data insights, assist clients in understanding metrics, support project goals, and improve client service.