Data Science Jobs in Cambridge, MA

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

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.

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.

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.

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

Lead Customer Success for enterprise HR clients by owning onboarding, engagement, renewal, and expansion. Build scalable onboarding and enablement, track customer health and ROI, facilitate executive workshops, and feed customer insights into product and GTM. Hire and develop a high-performing CS team and partner cross-functionally.

Lead the product lifecycle for technology solutions in the biomedical field, integrating AI/ML and managing interdisciplinary product teams. Drive innovation, create user experiences, and oversee regulatory data management.

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.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

Lead external R&D and early-pipeline communications to showcase AstraZeneca's science. Develop integrated media, digital and social strategies, craft scientific narratives, support data readouts and launches, partner with global teams and markets, and measure impact across channels to build reputation and stakeholder confidence.

Lead process sciences and innovation for mRNA and LNP platforms: scout and implement emerging technologies, design and run experiments to improve synthesis, purification and formulation, partner with Analytical Development on PAT and in-line monitoring, drive mechanistic understanding, mentor junior staff, and manage vendor and academic collaborations to advance scalable, high-quality manufacturing.

Lead strategy and operations for Data Science & Digital Health, crafting executive and Board‑level communications, shaping internal strategy narrative, aligning stakeholders, and tracking operating model, milestones, and metrics to drive enterprise adoption and impact.

The Senior Director, Business Development will drive Cytel’s Pharma client relationships, create strategic sales plans, and oversee client-focused initiatives to expand business growth.

The Digital Engineering Data Solutions Architect will develop data architectures, support system lifecycle management, and collaborate on innovative solutions in national security projects.

Lead enterprise-level strategy and delivery for building design, engineering, data readiness, and AI adoption. Define customer success plans, run workshops, shape consulting offerings, mentor staff, drive change management, and ensure high-quality project delivery and measurable customer value.

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.

This role involves business development, client relationship management, project leadership, and team development in the life sciences consulting domain, focusing on delivering custom solutions for clients.

The VP of Global Analytics & Insights leads teams to drive business growth through data-driven insights and advanced analytics, enhancing commercial strategies.

The role involves leading AI and advanced analytics initiatives in life sciences, managing client relationships and P&L, developing strategies for growth, and contributing to the team's thought leadership while enhancing analytical models and solutions.

Support competitive intelligence and market analysis across scientific, clinical, competitive, and commercial landscapes; build datasets, dashboards, and tools; synthesize findings into executive-ready deliverables; support BD, portfolio strategy, and AI/ML-enabled workflow improvements.

Lead research at Galois by developing externally funded programs in Formal Methods, collaborating with teams, mentoring staff, and engaging with clients.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

The Principal Data Product Scientist will oversee data needs management, product ownership, and collaboration with scientific and engineering teams to enhance analytics and data governance in Immunology R&D.