Data Science Jobs in Cambridge, MA

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.

Lead the development of AI applications and data products to enhance Immunology R&D. Manage a technical team and collaborate across departments.

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

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.

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 Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

Identify and prioritize emerging software, data, and AI technologies for life sciences. Rapidly prototype and validate high‑potential opportunities, perform vendor assessments, and translate insights into strategic recommendations and pilots to inform product, platform, and portfolio decisions.

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.

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

The VP of AI & Platforms will lead engineering and data science efforts, focusing on building platforms for seamless ecommerce logistics, accelerating time to value, and scaling teams effectively.

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.

As a Principal Associate in Data Science, you will lead AI and machine learning initiatives, focusing on generative AI and language models to enhance customer experiences and support across digital platforms.

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 product strategy, roadmap, and KPIs for BizzyCar’s agentic AI products. Own the AI Agent, collaborate cross-functionally throughout the SDLC, design rapid-cycle tests, gather requirements, commercialize features, and represent the company externally.

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

The role involves developing digital engineering architectures, collaborating with teams on data solutions, and applying systems engineering principles for national security projects.

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.

Lead development and deployment of AI/ML solutions for drug discovery by translating biomedical questions into scalable models, collaborating with scientists and engineering teams, validating model performance, defining evaluation metrics, and driving adoption across biomedical research stakeholders.

The role involves advancing investment analytics through data science, developing scalable workflows, and creating analytical models for investment decisions.

The GNC Mission Analyst analyzes performance of weapon system concepts, supports research, and collaborates on mission designs, addressing complex national challenges.

The role involves building data layers, enhancing investment analytics, managing data pipelines, and developing AI-enabled tools to support investment decision-making.