AI Practice Lead - Life Sciences & Healthcare

Responsibilities

• Work with EPAM’s clients and EPAM internal teams (business SME’s, account management teams, etc.) to shape the AI/ML/Agentic business and technology vision and GTM offerings aligned with current and emerging needs
• Manage end-to-end Data Science, AI, and Agentic projects/programs
• Lead multidisciplinary workshops and design sessions with customers
• Develop high-quality proposals in conjunction with other SMEs and consultants
• Work on EPAM’s Data Science, AI, and Agentic offerings from a point of view
• Take an active part in growing the EPAM team’s capacity and capability including building new competencies, selecting, and mentoring new team members
• Acts as an agent of change internally and a champion of transformation with external stakeholders

Requirements

• 10+ years of experience as Data Science Lead, Machine Learning Engineering Lead, or similar roles in the Healthcare, Pharmaceutical, MedTech/BioTech space
• 5+ years in a leadership role with team management responsibilities
• Demonstrated expertise in one or more areas of the life sciences or healthcare value chain (e.g., R&D, Clinical, Commercial, Manufacturing, Payer, or Provider), pharma manufacturing
• Great communication skills: ability to communicate AI and LSHC concepts compellingly to a variety of audiences with ease
• Hands-on experience, focused in at least one of the following domains: computer vision, NLP/language models, recommender systems, time series analytics
• Machine Learning Engineering/ Production delivery experience, ML/LLMOps. Experience working with one or more major cloud providers
• Knowledge of one or more of the following technologies: Databricks, Snowflake, Agentic Orchestration (LangChain, Omnigent, Semantic Kernel, etc.)
• Working knowledge of at least one programming language, ideally Python
• Understanding of Data Science engineering excellence and the modern SDLC for AI products
• Consulting experience (internal or through a professional services firm)

Nice to have

• Currently acting as an AI leader for a healthcare or life science organization
• Referenceable work (papers, open-source contributions, conference talks) around the AI / ML space
• Current cloud certifications for at least one of: AWS, GCP, Azure, Databricks
• Experience navigating regulatory processes, ISO/IEC Standards, HIPAA, EU AI Act, GxP, etc.