Director, Search & Evaluation (Platforms & AI

Band Level 6 Job Description Summary This role sits at the intersection of artificial intelligence, drug discovery, and business development, leading the search, evaluation, and prioritization of external AI-enabled opportunities that can accelerate innovation across Novartis Biomedical Research & Development. The individual will develop strategic perspectives on emerging AI technologies, platforms, datasets, and companies, while identifying high-impact partnering opportunities aligned with Novartis' R&D priorities.

Working closely with scientific, technology, and business stakeholders, this person will lead diligence efforts on complex AI opportunities, assessing scientific differentiation, partner capabilities, data and model quality, implementation feasibility, and strategic fit. They will help shape governance-ready recommendations for senior leadership, build relationships across the AI ecosystem including biotech, technology, venture capital, and academia, and establish scalable frameworks for evaluating external innovation.

This is a highly visible role for someone who enjoys combining scientific curiosity, strategic thinking, and external engagement to help shape the future of AI-enabled R&D. This role is required to be in our Cambridge, MA office 3x/week.

• Lead execution of AI-focused S&E strategy in priority R&D areas, translating internal scientific and business priorities into external search themes and actionable landscapes.
• Develop and maintain strategic landscapes across AI-enabled R&D, including company mapping, technology segmentation, financing and deal trends, and prioritization of opportunities.
• Lead complex triage and diligence efforts for AI platform, data, model, and end-to-end discovery/development opportunities, coordinating cross-functional input.
• Assess technical and strategic differentiation of external AI opportunities, including evidence strength, data access and quality, model validation, wet/dry lab integration, implementation path, partner maturity, and fit with Novartis R&D needs.
• Prepare and present high-quality decision materials for S&E, C&BD, and R&D leadership, including strategic recommendations, governance updates, deal rationale, and clear next-step proposals.
• Build strong internal alignment with  , Development, Data/Digital/IT, and other enabling functions to translate R&D priorities into actionable search themes, partnering strategies, and high-impact external opportunities.
• Develop and maintain external relationships with AI biotech and technology companies, venture investors, incubators, academic groups, and industry thought leaders.
• Monitor competitor activity, investment trends, BD deal-making, and technology inflection points in AI-enabled R&D to inform Novartis positioning and engagement strategy.
• Contribute to continuous improvement of S&E processes, including AI-specific diligence frameworks, company tracking, landscape refreshing cadence, and governance standards.

• Delivery of high-quality AI landscapes and strategic perspectives that inform C&BD and R&D prioritization.
• Identification and advancement of differentiated AI-enabled R&D opportunities aligned with Novartis priorities.
• Timely and rigorous triage/diligence of AI opportunities with clear recommendations and well-documented rationale.
• Effective cross-functional alignment across  , Development, Data/Digital/IT, and governance stakeholders.
• High-quality governance materials and leadership communication.
• Strong external network coverage across AI biotech, technology, academic, and VC ecosystems.
• Improved S&E organizational capability to evaluate AI opportunities consistently and efficiently.
• Contribution to team development, knowledge management, and scalable ways of working.

• Advanced degree in life sciences, computational biology, chemistry, engineering, medicine, data science, or related field strongly preferred;
  PhD, MD/PhD, PharmD, MBA, or equivalent experience preferred.
• 10+ years of experience in biopharma R&D, business development, AI-enabled life sciences, search & evaluation, strategy, venture, consulting, computational drug discovery, or data science.
• Demonstrated ability to evaluate complex scientific and technology platforms and translate technical differentiation into strategic and business implications.
• Strong understanding of drug discovery and development, with knowledge across AI-enabled target identification, chemistry, biologics, translational science, clinical development, data platforms, and/or lab automation.
• Experience leading cross-functional opportunity assessment, diligence, governance preparation, or BD-related evaluations.
• Strong external orientation and network-building ability across AI- enabled biotech, technology, venture, academic, and innovation ecosystems.
• Ability to operate independently, influence without authority, and drive alignment in a matrixed global organization.
• Excellent executive communication…