Data Science Jobs in Cambridge, MA

As the Director of Product Marketing, you will lead the strategy for positioning, pricing, and packaging products while managing a team and collaborating cross-functionally to increase user acquisition and engagement.

Lead development and deployment of hybrid ML and mechanistic modelling pipelines (PK/PD, QSP) to generate actionable insights across drug discovery and development. Drive reproducible workflows, integrate diverse datasets, advance AI-augmented modelling, and communicate results to influence translational decision-making.

Conduct analysis of high-frequency wearable sensor data to develop digital biomarkers using signal processing and AI; build time-series models and data pipelines; integrate multi-modal datasets; collaborate with cross-functional teams and communicate results via reports and publications.

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

Lead integration and analysis of multi-modal omics (spatial transcriptomics, proteomics, imaging, sequencing) using statistical, machine learning, and AI methods to support oncology target discovery. Build scalable, reproducible workflows on HPC, partner with cross-functional teams, evaluate emerging technologies, ensure data quality, and communicate findings to technical and non-technical stakeholders.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

The Postdoctoral Scientist will manage and analyze CNS neuroimaging datasets, optimize imaging strategies, and collaborate on drug delivery strategies within a pharmaceutical research context.

Lead revenue analytics for Asset Servicing focused on client profitability, price benchmarking, fee schedule and invoice simplification. Manage and hire analytics staff, apply data science and consulting approaches to optimize pricing and invoicing in a securities/financial services context.

The Principal Scientist will lead data product vision and execution strategy for imaging in digital media, advancing data-driven capabilities and modernizing imaging ecosystems.

Hands-on senior data scientist designing, building, validating, and delivering AI/ML and statistical models to support Therapeutics Development & Supply. Partner with CMC, manufacturing, quality, regulatory, and digital teams to translate scientific problems into robust, reproducible models, deploy analytical workflows, and provide technical guidance while delivering measurable business impact.

Hands-on principal data scientist to design, build, and scale digital twins, simulation, forecasting, optimization, and decision-intelligence solutions for therapeutics development and supply. Partner with cross-functional teams to translate complex processes into computational models, deliver production-ready analytical workflows in Python, apply software engineering practices, and mentor junior colleagues while driving measurable business impact in R&D and supply planning.

The role involves leading data science and machine learning initiatives, developing predictive models, managing cross-functional teams, and fostering a collaborative environment.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

Lead the development of AI-enabled data science solutions within ITS, enhancing investment outcomes through advanced analytics and machine learning, collaborating with investment teams to drive performance and risk management success.

Lead the development of analytics solutions for market access decisions, performing complex analyses on patient data, building predictive models, and collaborating with cross-functional teams to drive insights and strategic initiatives.

The Senior Scientist I will analyze complex preclinical data to enhance CAR-T therapies, integrating quantitative insights, developing workflows, and collaborating with experimental teams.

The Director of Data Science will lead AI/ML projects, ensuring their scalability and production readiness while collaborating across functions to drive business growth.