Top Hybrid Data Analysis Jobs in Boston, MA

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

The Senior Product Data Analyst at CarGurus will analyze complex data, present insights to leadership, and create data assets to influence product strategies and enhance user experiences.

The role involves analyzing large datasets to ensure compliance, translate analyses into insights for stakeholders, and improve compliance processes through data solutions.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

Responsible for scientific oversight and quality of late-stage oncology clinical trials, partnering with colleagues to ensure successful execution, protocol authoring, and data analysis.

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

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.

As a Data Scientist I, you'll contribute to the development of casualty catastrophe models, conduct statistical analyses, and create scalable model components, collaborating with teams to enhance Verisk's analytics products.

The Biostatistician II will oversee statistical analysis and design for clinical trials, collaborating with researchers and statisticians, and providing leadership within committees, ensuring high-quality data and compliance with statistical principles.