Teams at Eli Lilly and Company

Develop generative protein design methods for antibody and VHH discovery. Responsibilities include conditioning and sampling, molecular optimization, scoring and ranking, dataset curation, leakage assessment, experimental validation support, and collaboration with multidisciplinary protein science and engineering teams. The role requires applying machine learning to scientific data, using Python and GPU-based deep learning, and communicating computational findings to technical and experimental audiences.

The Director leads Discovery PKPD projects for genetic medicines, develops modeling strategies, conducts studies, collaborates across teams, mentors scientists, and communicates findings.

Leads strategic account and project management for Lilly’s in-house creative agency, translating brand strategies into integrated marketing campaigns. Owns brand relationships, budgets, scopes, forecasts, timelines, campaign planning, compliance workflows, and stakeholder alignment. Guides creative teams, analyzes campaign KPIs, manages MLRO review risks, supports resource allocation, and improves processes using tools such as Workfront and AI-enabled forecasting. The role serves multiple brands, channels, audiences, and therapeutic areas in a regulated healthcare environment.