Role summaryprincipal 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).responsibilitiesdevelop 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.qualificationsbs, 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.
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