Senior Principal Scientist AI/ML Antibody Design and Engineering

Regeneron Pharmaceuticals • Village of Tarrytown, NY

1d • Onsite

About The Position

We are seeking a Senior Principal Scientist in AI/ML to lead the development of next-generation antibody therapeutics. This role sits at the intersection of computational biology, machine learning, and antibody engineering; building AI-driven platforms that accelerate therapeutic discovery from concept to clinic. You will drive the internal build and external partnerships required to create and validate AI/ML platforms, including large language models and in silico protein design tools. Working closely with antibody engineers, structural biologists, and AI/ML scientists, you will shape strategy, guide technical execution, and translate advanced computational methods into impactful biotherapies. This is a rare opportunity to define how AI/ML is embedded into antibody discovery, influence platform-level decisions, and deliver novel therapeutics from world-class research facilities. A typical day in the life of a Senior Principal Scientist AI/ML Antibody Design and Engineering may include the following responsibilities: Develop novel AI and machine learning tools to enable de novo antibody discovery with unique properties and in silico co-optimization of affinity, expression, stability and PK/half-life. Apply deep learning and generative AI techniques to train/enhance LLM or other relevant language models using internal datasets. Use in silico protein/antibody engineering design tools such as Rosetta to drive for structure-based design and engineering. Collaborate and support scientists from antibody engineering, therapeutic areas and other tech centers to deliver novel molecular entities to our pipeline. Serve as an expert in computational biologic design to keep up with the latest advancements in AI, machine learning, and protein engineering fields Maintain data records and present to cross-functional teams. This role may be for you if: You want to build and lead a new AI/ML function from the ground up. You're energized by translating cutting-edge computational methods (LLMs, geometric deep learning, generative models) into therapeutics that reach patients. You have deep expertise in computational biology and protein engineering, and you're ready to apply it at the intersection of AI and antibody discovery. You thrive working across disciplines and partnering with experimentalists, structural biologists, and AI/ML scientists to solve antibody discovery problems. You're ready for a role where your technical decisions shape platform direction and directly accelerate drug timelines.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Structural Biology or a related field, with 7-10 years of relevant experience.
• Proficiency in programming languages such as Python, R and C++.
• Strong track record of innovation and research accomplishments in developing AI/ML methods and using deep learning tools to successfully solve antibody/protein engineering challenges.

Nice To Haves

• Experience in using structural modeling and design tools (e.g. Rosetta) is strongly preferred.

Responsibilities

• Develop novel AI and machine learning tools to enable de novo antibody discovery with unique properties and in silico co-optimization of affinity, expression, stability and PK/half-life.
• Apply deep learning and generative AI techniques to train/enhance LLM or other relevant language models using internal datasets.
• Use in silico protein/antibody engineering design tools such as Rosetta to drive for structure-based design and engineering.
• Collaborate and support scientists from antibody engineering, therapeutic areas and other tech centers to deliver novel molecular entities to our pipeline.
• Serve as an expert in computational biologic design to keep up with the latest advancements in AI, machine learning, and protein engineering fields
• Maintain data records and present to cross-functional teams.

Benefits

• comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels!
• Regeneron is also proud of award winning culture of innovation, being recognized as a Great Place to Work in 2021, Fast Company’s Best Workplace for Innovators in 2020, and Forbes JUST companies in 2020, among others.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees