Data Science Jobs in Cambridge, MA

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

As a Sr Associate in Product Management, you will focus on developing innovative customer experiences, breaking down business requirements into features, and collaborating with tech teams to drive product success.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

Lead the Oncology AI product strategy and roadmap, manage AI engineering teams, and drive stakeholder engagement for impactful AI solutions in R&D.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Own long-term product strategy and roadmap for Circle's digital assets and capital markets platform. Lead cross-functional initiatives, manage regulatory and market risks, define forecasting and liquidity models, influence executives, and mentor product managers to scale global stablecoin and capital access infrastructure.

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

As a Data Science Manager, you will lead a team in developing personalized experiences through machine learning, aligning efforts with product and engineering to drive impact and innovation.

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 role focuses on developing and implementing digital strategies using AI and automation in pharmacology and drug development, managing partnerships, and ensuring compliance with industry regulations.

The Assistant Director for Graduate Studies in Data Science advises master's students, assists in admissions, teaches courses, and collaborates on curriculum development.

The Vice President of Biostatistics leads the statistical strategy for drug development in oncology, oversees clinical trial design, and manages external partnerships while ensuring regulatory compliance.

Lead the strategic roadmap for Clinical AI in Translational Research, integrating scientific needs with data science methodologies for decision-making and implementation.

Lead enterprise sales to pharma and biotech customers, owning the full sales cycle from prospecting to close. Build and manage strategic pipelines, navigate complex multi-stakeholder deals, engage technical and executive buyers, translate product value, and collaborate with founders, product, science, and customer teams to grow long-term partnerships.

The Head of Toxicology Innovation leads strategies to integrate AI and ML into toxicology, oversees labs in France and the US, and ensures high-quality safety assessments in drug development.

The Director of Integrated Insights and Analytics will lead processes for insights gathering and dissemination, focusing on strategic decision-making in the pharmaceutical industry.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

The Founding Product Manager will lead the development of AI-driven surgical data products, translating user needs into product requirements and managing the product lifecycle from ideation to deployment.

The Principal Product Manager for Billing defines product strategy and roadmap, ensuring efficient billing capabilities and compliance while collaborating with cross-functional teams to deliver scalable solutions.

Senior leader responsible for designing and operating Fidelity's global sanctions program, ensuring OFAC and parallel-regime compliance, driving strategy, governance, technology-enabled screening and analytics, regulatory engagement, and leading a global sanctions team to mitigate enterprise sanctions risk.

Lead finance analytics strategy owning data warehouse, BI, GCP cost optimization, and Finance AI automation. Build a reporting Center of Excellence, establish data pipelines and AI model foundations, enable self-service analytics, ensure data governance and audit readiness, and manage a team of engineers and a finance/strategy manager.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

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 Head of Data Governance will establish frameworks for data integrity and compliance, oversee patient data anonymization, and lead governance initiatives. This role requires collaboration with senior leaders to ensure data strategy aligns with regulatory requirements and business goals.