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The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The role involves promoting and marketing products in Wuxi, establishing good relations with hospital clients, providing drug information, and gathering market feedback to meet business goals.

The Territory Manager will drive brand strategies and patient care initiatives in Neuroscience, focusing on Alzheimer's disease, through account management and collaboration with stakeholders.

The role involves leading Enterprise AI Operations and Observability functions, managing AI/ML systems, and ensuring operational excellence through strategic leadership and technology optimization.

Lead teams to deliver large capital projects in healthcare, ensuring compliance, safety, and effective communication with stakeholders. Require 5+ years in project delivery.

The role involves supporting Identity and Access Management services, participating in incident management, ensuring system security, and providing user support while participating in on-call rotations.

The Senior Director of TS/MS oversees technical services and manufacturing science for Lilly's new facility, ensuring compliance and leading cross-functional teams. Responsibilities include strategic planning, process validation, mentoring staff, and developing relationships across departments.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

The role involves developing synthesis-aware virtual screening workflows for small-molecule drug discovery, integrating various modeling and design strategies.

Designs and builds production-grade ML/AI platforms, pipelines, and LLM applications. Implements CI/CD, containerized deployments, MLOps practices, monitoring, and RAG/agentic systems. Collaborates with data scientists and stakeholders to translate requirements into scalable solutions and drives model lifecycle operations including monitoring, retraining, and decommissioning.