Technical Lead for Automation & AI in Clinical Domain at Lilly

At Lilly, we combine caring with discovery to make life better for people worldwide. As a global healthcare leader headquartered in Indianapolis, Indiana, our employees work to discover and deliver life-changing medicines, improve disease management, and give back through philanthropy and volunteerism. We prioritize our best effort in our work and put people first. We're seeking individuals determined to make a global impact on life quality.

Role Overview

As a Technical Lead for Automation & AI in the Clinical Domain, you will architect and deliver Automation & AI solutions using cutting-edge technologies, with a focus on foundation and large language models. Collaborate with business stakeholders to understand requirements and design custom AI solutions that address complex challenges. You'll accelerate AI adoption across the business, particularly within Statistical Applications and Data, and lead AI use cases in clinical projects from inception to completion, including protocol development, site management, and data review.

Key Responsibilities

• Stakeholder Collaboration: Work with clinical stakeholders to understand business needs, challenges, and design scalable, reliable AI solutions.
• Business Priorities: Utilize knowledge of business goals to inform requirements and solutions for specific needs.
• Technology Expertise: Demonstrate deep expertise in foundational and large language models, AI technologies, and frameworks.
• Innovation: Identify challenges and opportunities for innovation in the clinical space, providing effective solutions.
• POC Development: Create proof-of-concepts to validate and demonstrate AI solution effectiveness.
• Best Practices: Define best practices for AI/ML and manage AI lifecycle.
• Interdisciplinary Collaboration: Partner with various functions to develop and deploy AI solutions using NLU, ML, and AI.
• Model Deployment: Design, build, and deploy predictive models and statistical analyses to solve business problems and optimize processes.
• Model Validation: Conduct thorough testing and validation to ensure accuracy, reliability, and scalability.
• AI Use Case Delivery: Collaborate with other AI teams to deliver high-impact AI use cases efficiently.
• AI Adoption Plan: Develop and execute AI adoption plans, exploring new ideas and partnerships.
• Tool Selection: Choose appropriate AI tools and models, building and training them using Python and other free technologies.
• Team Collaboration: Work with teams to create AI solutions that generate new content using language understanding and machine learning.
• Mentorship: Provide technical guidance and mentorship to junior team members.

Required Technical Skills

• Bachelor's degree in a relevant scientific discipline (e.g., Biomedical Engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD, RN).
• Advanced degree (e.g., Master's or Ph.D.) in Data Science, AI/ML.
• 7-9 years overall experience, with 3-5 years in clinical research, focusing on managing clinical trials in pharmaceutical, biotechnology, or CRO settings.
• 3-5 years in AI research and development, preferably in healthcare or life sciences.
• In-depth understanding of clinical trial regulations and guidelines (GCP, ICH, local regulations).
• Proven AI solution design and delivery experience with a focus on foundational and large language models.
• Strong programming skills in Python, R, and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Familiarity with libraries such as SciKit Learn, Pandas, Matplotlib.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus.
• Experience with large datasets, data pre-processing, feature engineering, and model evaluation.
• Solution architecture and design proficiency, translating business requirements into technical specs.
• Excellent interpersonal and communication skills for stakeholder engagement.
• Commitment to continuous learning and staying updated with AI advancements.
• Growth mindset towards understanding business processes and challenges.

Employment & Equal Opportunity