Role summary principal research scientist ii - ai/ml partnerships, biotherapeutics and genetic medicine. The role will be a key leader in driving abbvie's ai/ml external strategy for biotherapeutics & genetic medicine (bgm), leveraging deep technical ai/ml expertise in biopharma to represent bgm’s strategic priorities in external engagements. The position reports to the head of ai/ml in bgm and serves as a trusted advisor to senior leadership, ensuring ai/ml initiatives align with business objectives and deliver tangible value to patients. Location options include worcester, ma; cambridge, ma; or san francisco, ca, with flexible on-site or hybrid arrangements (three days per week in the office). Responsibilities develop a deep understanding of abbvie’s biotherapeutics discovery processes and drug program pipeline and use that as a foundation to co-develop and champion an external ai/ml strategy that is aligned with key areas of impact, over both long- and short-term horizons. Stay at the forefront of ai/ml innovation, technologies, and best practices, developing a bi-monthly competitive intelligence report, in coordination with other teams that develop competitive intelligence across abbvie, e.g., ai strategy & partnerships, commercial digital, r&d, bts, and corporate strategy. Collaborate with bgm’s internal ai/ml innovation team to conduct technical due diligence and detailed benchmarking of external partner ai/ml platforms with applicability to abbvie’s bgm strategy. Collaborate across the company (including technology licensing & collaboration, search & evaluation, business development & acquisitions, etc.) to ensure collaboration agreements are aligned with the value proposition for bgm. Manage and coordinate collaborations with external partners, document key activities and drive projects towards impact. Communicate the impact of ai/ml partnerships to abbvie’s pipeline both internally at governance bodies and, where appropriate, externally, to the ai/ml community through conference presentations. Mentor leaders and team members, creating a pipeline of ai/ml champions. Qualifications bs, ms, or phd in computational chemistry, bioinformatics, computational biology, biology, or related discipline with typically 16 (bs) years, 14 (ms) years, or 8 (phd) years of experience. Demonstrated ability to work cross-functionally with senior leaders and build trust-based partnerships to deliver results and influence change. Experience with deep technical diligence on machine learning capabilities. Prior experience in external partnerships and competitive landscape at a major pharma company or biotechnology organization. Strong problem-solving mindset and comfort and ability to create structure from ambiguity. Excellent executive communication and stakeholder-management skills with a proven ability to bridge technical and business perspectives. Hiring, people management, and career development experience. J-18808-ljbffr