Top Hybrid Data Analysis Jobs in Boston, MA

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

As a Data Scientist, you'll build and maintain portfolio systems, design risk frameworks, run backtesting experiments, and collaborate across teams to enhance portfolio analytics using AI-driven predictions.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

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 Statistical Researcher, you'll analyze insurance claims data, validate modeling methodologies using R or C++, and communicate findings to internal and client-facing teams.

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.