Job Description
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Eli Lilly and Company is committed to using its innovation-based strategy to discover, develop and deliver innovative medicines that help improve the lives of people. The PK/PD & Pharmacometrics organization is at a pivotal moment: we're redefining how we harness decades of clinical data and model-informed drug development approaches through strategic AI and automation adoption. We are seeking a Digital Innovation & Technology Strategy Lead who will define and implement our multi-year roadmap for integrating artificial intelligence, machine learning, and automation technologies into our quantitative pharmacology and pharmacometric workflows. This role will help position us as an industry leader in AI-enabled drug development while ensuring scientific rigor, regulatory defensibility, and meaningful value creation. Key Responsibilities Develop and implement a comprehensive digital strategy for PK/PD & Pharmacometrics, identifying and prioritizing high-impact use cases that accelerate drug development and position PK/PD as an industry leader in AI-enabled quantitative pharmacology Lead PK/PD's digital strategy as the primary work with internal and external partners, managing collaborator relationships to accelerate value delivery from AI and automation investments Evaluate emerging AI technologies for clinical pharmacology and pharmacometrics applications, leading proof-of-concept pilots and scaling validated solutions Partner with IT, data science, and data engineering teams to implement AI solutions and establish data governance standards that ensure PK/PD data is AI-ready, accessible, compliant, and coordinated with existing systems and workflows Collaborate with project leaders, pharmacometrician's, and cross-functional partners (e.g. Clinical Operations, Statistics, Regulatory Affairs) to ensure seamless AI integration across R&D and serve as the primary voice for AI strategy within PK/PD leadership and governance forums Grow and implement organisational change strategies to drive AI adoption, including training programs, champion networks, and upskilling resources that address resistance and build organizational capability in AI/ML methodologies Define success metrics and track value creation for digital/technology initiatives, maintaining a portfolio of use cases with clear ROI documentation and preparing executive-level cases and communications Establish relationships with external partners (e.g. academic institutions, technology vendors, industry consortia, regulatory agencies) and contribute to thought leadership through publications and conference presentations, representing Lilly's vision for responsible AI adoption Minimum Requirements Master’s degree in a relevant field Minimum 8 years of experience in pharmaceutical R&D, with at least 2 years focused on AI/ML/digital technology applications in drug development Experience in PK/PD modeling, pharmacometric workflows (e.g. population PK, exposure-response, dose optimization), and model-informed drug development principles Experience implementing digital solutions in a regulated industry environment Additional Skills/Preferences Familiarity with data architecture, cloud computing, and innovative analytics platforms experience crafting compelling cases and executive-level presentations Track record of external thought leadership through publications, conference presentations, or industry working groups Hands-on experience with specific AI tools (e.g. Python/R/Matlab for ML, TensorFlow/PyTorch, cloud-based ML platforms) Track record of successful pilot-to-production digital scaling Hands on experience with PK/PD modelling and simulation and model-informed drug development Other Considerations Location: Indianapolis, IN or Boston, MA (hybrid work model available) Travel: Domestic and international travel up to 20% (conferences, vendor meetings, cross-site collaboration) Work Environment: Highly collaborative, matrixed organization requiring cross-functional relationships Innovation Culture: We encourage calculated risk-taking, rapid prototyping, and learn