Top Hybrid Data Science Jobs in Boston, MA

Lead and manage data science initiatives: develop ML/DL models, oversee data pipelines and lakes, validate data quality, coach team members, liaise with stakeholders, and ensure projects meet timelines, budgets, and client expectations while promoting innovation.

Lead teams to apply advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, secure project delivery, mentor staff, present findings to senior stakeholders, and help develop innovative analytics products for payer strategies.

Develop and apply statistical analyses, machine learning, and ML/DL/NLP techniques to extract insights from large datasets, build predictive models, design data solutions and visualizations, ensure data pipeline integrity, collaborate with clients, and mentor junior team members in PwC's Assurance practice.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

Embed with product teams to design and analyze experiments, build measurement frameworks and behavioral models, create scalable reporting, and translate analyses into actionable product recommendations to improve member outcomes.

Lead data science projects to advance drug development, implementing models for patient selection and clinical trial optimization, and collaborating with cross-functional teams.

The Manager of Data Science will lead a team focused on machine learning model development, team management, and cross-functional collaboration to advance product goals.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.