Top Data Science Jobs in Boston, MA

The Senior Director of Data Hub leads operational and analytical functions, manages teams, oversees client projects, and fosters external engagements, while emphasizing AI-enabled analytics and causal evaluation methodologies.

The Principal Data Scientist will develop algorithms using extensive datasets to improve vehicle and driver safety, mentor junior data scientists, and communicate complex concepts to stakeholders.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.

The Senior Director will lead a team in data science, focusing on analytics and visualization for drug development, ensuring compliance and strategic execution. Responsibilities include statistical modeling, collaboration with various scientific teams, and developing predictive models.

The Director, Biostatistics leads statistical strategy for clinical programs, ensuring compliance, managing CRO relationships, and collaborating across functions while mentoring junior staff.

The Senior Scientist II will analyze spatial proteomics and multi-omics datasets, develop computational workflows, apply machine learning, and collaborate with teams to identify novel therapeutic targets.

The Data Scientist will develop machine learning models using cancer data to advance oncology understanding and improve patient outcomes, collaborating with multiple teams and publishing results.

The Senior Data Scientist/Computational Biologist will analyze, integrate multi-omics data, develop tools for research, and provide analytical support while collaborating with HMS faculty.

This role focuses on conducting research in equity markets using ML and NLP for alpha generation. You'll collaborate with global teams to develop models and translate innovations into strategies.

The Head, Innovation Accelerator Data Science leads technical projects in data science, ensuring adherence to best practices and innovation roadmap alignment. This role involves team leadership, technical execution, and collaboration with cross-functional partners.