| Company |
Lilly |
| Job title |
Advisor – AI Agents Molecule Discovery |
| Job location |
United States of America |
| Type |
Full Time |
Responsibilities:
- Agentic Framework Development
- Design an AI Agent platform enabling autonomous agents to optimize chemistry and biology workflows.
- Integrate multiple AI agents to enhance collaboration, efficiency, and scalability in scientific processes
- Workflow Automation
- Develop solutions using LLMs and Generative AI to automate multi-modal data processing, analysis, and interpretation in chemistry and bioinformatics.
- AI Engineering and Optimization
- Train, fine-tune, and deploy transformer-based models tailored to chemistry and biology applications.
- Research and Collaboration
- Conduct independent research; collaborate with chemists, biologists, and computer scientists to integrate AI solutions into existing workflows.
Requirements & Skills:
- Ph.D. degree in Computer Science, Computational Chemistry, Bioinformatics, Engineering, or a related field
- Experience developing and/or integrating chemistry or biology software (e.g., REINVENT, chemprop, etc).
- Strong experience with popular machine learning/data science libraries (e.g. PyTorch, Keras, HuggingFace, Pandas, Scikit-Learn)
- Demonstrated experience in LLM engineering (tokenization, prompt engineering, chain-of-thought) through coursework and portfolio projects
- Understanding of chemistry or biology multi-modal data
- Familiarity with agent-based modeling and agentic frameworks in scientific domains
- Ability to communicate with diverse, wet-lab scientists
- Proven experience with training, fine-tuning, and deploying large-scale transformer-based models.
- Experience in state-of-the-art reinforcement learning and inference time computing algorithms
- Expertise in large-scale reinforcement learning systems and model quantization
- Familiarity with cloud computing platforms (e.g., AWS, Azure)
