Regeneron is looking to solve the problem of improving cycle times and delivering medicines to patients faster through the implementation of artificial intelligence (AI) and digital transformation strategies.
Requirements
Familiarity with Python, R, or another programming language
Proven track-record of building, scaling, and maintaining computational, AI-based solutions, ideally on cloud-based platforms such as AWS
Experience with critical evaluation of model performance and generalizability
Demonstrated experience working with large-scale, complex datasets, particularly in the regulated healthcare or clinical trial setting
Experience implementing production-level LLMs in a clinical or life sciences setting is preferred
An advanced degree in computer science, medicine, biomedical informatics, or a related field
At least 7 years experience developing and leading the implementation of AI-related tools and strategy
Responsibilities
Lead AI/Machine Learning Strategy and Implementation
Co-lead GDs digital transformation strategy
Partner with Clinical Development Unit leaders to help implement AI and automation
Lead a team of scientists and developers in developing and implementing specific AI-based tools and processes
Drive data and platform strategy across Global Development
Proactively develop new techniques and algorithms to address high-impact areas
Other
A PhD and 12+ years of experience preferred, OR M.S or MBA : 15+ years of experience can be considered, or Bachelor's degree and 17+ years of experience
May require travel up to 20%
Proven ability to work in a matrixed organization, developing and leading complex projects with multiple stakeholders
A track record of peer-reviewed or validated accomplishments, e.g. scholarly publications or published tools and code
Ability to present to and educate senior leadership around foundational technology investments and applied technology go/no-go decisions
