Regeneron's Global Development is looking to incorporate AI, machine learning, and automation into its processes to reduce cycle times, improve quality, and focus on more meaningful work.
Requirements
- Deep understanding of generative AI, machine learning, natural language processing, and statistical modeling
- Deep expertise in programming (Python, R, etc.), with a focus on applying advanced technical skills to data analysis, pipeline creation, automation, and software development
- Expertise in database platforms and cloud computing infrastructure
- Track record of model development, implementation to scale, maintenance, and evaluation in a healthcare of life sciences setting
- Experience managing and analyzing large-scale clinical datasets
Responsibilities
- Implement, and refine novel algorithms and scalable AI /ML solutions tailored to GD applications such as clinical trial design, regulatory intelligence, patient identification and stratification, etc.
- Develop, implement, and improve data architecture and engineering approaches for diverse data sources across GD
- Contribute to initiatives with GDIT and enterprise IT to build the necessary infrastructure (software and hardware) to support advanced analytics
- Collaborate with GD colleagues to help them approach AI/ML more effectively
- Establish rigorous validation frameworks for AI models and monitor existing models for accuracy and efficiency
- Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption at Regeneron
Other
- Excellent communication skills, both technical and non-technical
- Experience managing multiple projects
- Experience working in cross-functional teams
- May require travel up to 20%
- Bachelor's, Master's, or Ph.D. degree (not explicitly mentioned but implied)
