[Hiring] AI Practice Lead - Life Sciences & Healthcare @EPAM

Role Description

EPAM AI consulting practice focuses on unlocking business value for organizations through end-to-end AI/ML solutions and platforms. We are looking for an AI leader to spearhead the initiatives across our Life Sciences and Healthcare Portfolio. This is a role where you will oversee the entire lifecycle of AI solutions, from ideation through delivery and growth, in step with technology and market trends. The ideal candidate thrives in ambiguity and can continually adapt to ensure their contributions make a tangible impact in the world.

• 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.

Qualifications

• 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).

Requirements

• 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.