Top Hybrid Data & Analytics Jobs in Boston, MA

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Analyst will support the design, administration, and performance analysis of Sales Compensation programs, collaborating with stakeholders and leveraging tools for effective execution.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

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 Senior Data Engineer will manage and optimize data infrastructure, develop automated data pipelines, and ensure system reliability to drive healthcare advancements.

As a SAS Programmer II at Harvard, you'll develop and enhance SAS and R programs, prepare datasets for analysis, create reports, and assist researchers with programming challenges.

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 Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

Manage and optimize Digital Asset Management platforms, implement data governance policies, collaborate with teams, and mentor junior members while ensuring performance and innovation in MarTech ecosystems.