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Company Overview
A leading professional services organization specializing in strategy, technology, and data science solutions supports clients in healthcare and life sciences. The organization delivers integrated advisory services spanning AI strategy, technology adoption, operational transformation, and advanced analytics. Its teams guide clients through complex projects and transformational initiatives, leveraging cutting-edge AI and machine learning to generate actionable insights and drive measurable impact.
Summary
The Data Science Manager will lead the technical design, development, and deployment of AI and GenAI solutions for healthcare and life sciences clients. This role combines leadership, technical expertise, and client engagement to deliver innovative analytics solutions that address complex business challenges across diagnostics, hospital operations, and other clinical and non-clinical applications.
Responsibilities
Serve as the technical lead on projects, defining AI/ML strategy, roadmap, and prototyping solutions to meet client requirements
Engage with healthcare clients to guide AI strategy and adoption, including exploratory data analysis, model building, validation, and production deployment
Lead interdisciplinary teams of data scientists, engineers, and solution architects to achieve delivery objectives and performance targets
Research and implement best practices for model validation, deployment, code review, unit testing, and integration testing
Present findings and solution options to key stakeholders, including deployment infrastructure and technical recommendations
Mentor and coach junior data scientists, promoting technical excellence and professional development
Qualifications
Master’s or PhD in Data Science, Computer Science, Engineering, Mathematics, Physics, or related STEM field
6+ years of experience in data science, AI/ML development, software engineering, or MLOps
6+ years of experience in AI/ML workflows and data analysis across modalities including NLP, computer vision, time-series, and graph models
6+ years of experience with programming languages and data science tools (Python, Keras, TensorFlow, PyTorch, Pandas, Scikit-learn, Jupyter)
6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), including model tuning and validation
4+ years of experience managing teams and delivering complex projects
Ability to travel ~10% based on client and project requirements
Preferred: experience with cloud deployment (AWS, Azure, GCP), GenAI solutions for healthcare, and client-facing roles
Must live within commuting distance to the Boston office; limited immigration sponsorship may be available
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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