Research Engineer developing conditional generative adversarial networks for synthetic microstructures in PMC and CMC. Collaborating with AFRL and advancing materials performance through data - driven insights.
About the role
- Senior Scientist driving the digital infrastructure for drug discovery at Lilly. Leading the design of scalable applications and data systems while collaborating with AI/ML and lab operations.
Responsibilities
- Design and implement robust, scalable data foundations that streamline scientific data pipelines
- Lead the design and deployment of modern, cloud-native applications (Python, FastAPI, React)
- Set the technical standard for the group: on code quality, CI/CD , and architecture
- Partner with AI/ML researchers to deploy algorithmic solutions (SageMaker, LLMs) to production
- Create automated workflows that ingest complex multi-modal data and deliver real-time insights
Requirements
- Bachelor’s Degree in Computer Science, Engineering, or scientific discipline with 5+ years of full stack development experience (or Master’s with 3+)
- Experience building scalable production applications using Python (i.e. FastAPI) for backend and modern frameworks (i.e. React) for frontend
- Qualified applicants must be authorized to work in the United States on a full-time basis
Benefits
- vacation benefits
- eligibility for medical, dental, vision and prescription drug benefits
- flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- life insurance and death benefits
- certain time off and leave of absence benefits
- well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
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