Senior Principal Scientist AI/ML Antibody Design And Engineering

Senior Principal Scientist AI/ML Antibody Design and Engineering

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.

To be considered for this opportunity, you must have a PhD in Computational Biology, Bioinformatics, Computer Science, Structural Biology or a related field, with 7-10 years of relevant experience. You have proficiency in programming languages such as Python, R and C++. You must have a 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. Experience in using structural modeling and design tools (e.g. Rosetta) is strongly preferred. Candidates with PhD only in a relevant field will be considered at the Principal level as well.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides 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! For additional information about Regeneron benefits in the US, please visit careers.regeneron.com. For other countries' specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron's roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron's on-site policy and expectations for your role and your location.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually): $150,500.00 - $245,500.00