Senior Data Scientist jobs in Boston, MA

Lead and execute HEOR and real-world evidence projects in collaboration with external partners and internal stakeholders. Develop analytical infrastructure and translate complex research findings into clinically actionable insights.

Lead the end-to-end development and deployment of advanced machine learning and Generative AI solutions to detect fraud and manage risk. Collaborate with cross-functional teams to integrate these analytical models into production systems while ensuring scalability and performance.

The role focuses on establishing and expanding partnerships with pharmaceutical and biotechnology clients to drive revenue for Tempus data solutions. You will act as a scientific advisor, collaborating with internal teams to develop targeted research and commercial solutions for client accounts.

Lead the design and execution of real-world evidence analyses for pharmaceutical partners to support drug development and clinical research. Collaborate cross-functionally to derive complex endpoints and integrate AI tools to enhance data quality and analytical workflows.

The role involves modeling and transforming raw EHR and claims data into analytics-ready datasets using SQL and Python, while building and managing scalable data pipelines with tools like Dagster, dbt, and Snowflake. Additionally, the engineer will conduct hands-on Real World Data (RWD) analyses to answer scientific research questions and support decision-making across the drug portfolio.

The Senior Data Scientist will build and deploy AI/ML-powered digital solutions to transform medicine development and clinical trial design. They will collaborate with cross-functional teams to translate scientific problems into automated data science workflows and scalable software products.

Leverage machine learning, AI, and statistical methods to solve complex problems in network optimization, demand forecasting, and pricing. Design, build, and evaluate models while communicating technical insights to both technical and business-oriented stakeholders.

Translate marketing and business questions into analytical plans, integrate and analyze large, disparate data sources, and develop scalable statistical and machine-learning models and pipelines. Communicate and document findings for technical and non-technical audiences while collaborating with stakeholders and contributing to the data science practice.

Lead the development of evaluation frameworks and metrics to assess the performance and safety of autonomous vehicle systems. Collaborate with engineering teams to analyze large datasets, identify edge cases, and drive data-informed decisions for launch readiness.

The Senior Data Scientist will build, deploy, and scale GenAI chatbots and Agentic AI workflows to automate business processes and improve information access. They will also partner with cross-functional teams to integrate these solutions into enterprise systems while ensuring security and reliability.

The consultant will design and validate optimization, simulation, and forecasting models to improve supply chain performance. They will also build analytical solutions using Python and SQL while collaborating with stakeholders to define business objectives.