Senior Principal Scientist, AI/ML Antibody Design & Engineering

Regeneron

Tarrytown, NY

Full Time

Senior

148k-242k

about 1 month ago

Job Description

About the Role

We are seeking a highly talented and motivated Senior Principal Scientist specializing in AI Machine Learning to lead the design and engineering of our next-generation antibody-based protein therapies. The ideal candidate shall have a strong background and passion in both computational biology, with expertise in programming, large language models, in silico protein design tools, and knowledge in structural biology and antibody engineering. You will help drive both internal development and external partnership to create/validate AI/ML tools to enable our quest for next-gen antibody therapies. By closely working with antibody engineers, structural biologists and AI/ML scientists from a cross functional team, you have a unique opportunity to shape the future of our AI/ML strategy and deliver on future biotherapies from our state-of-the-art research facilities.

Key Responsibilities

Utilize AI and machine learning techniques to design novel antibodies and bi/multi-specific antibodies that would be challenging to achieve from screening
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
Leverage deep target biology from broad therapeutic areas to enable desired novel MoAs through molecular design
Collaborate and support scientists from antibody engineering, therapeutic areas and other tech centers with biotherapeutic design
Guide and lead AI/ML scientists across multiple functions to have a synergized AI/ML strategy and drive sustained delivery of novel molecular entities to 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 analysis and records in well-organized fashion
Present data clearly to teams and management

Requirements

A PhD in Computational Biology, Bioinformatics, Computer Science, Structural Biology or a related field
7-10 years of relevant experience
Strong track record of innovation and research accomplishments in developing AI/ML methods and using deep learning tools to solve antibody/protein engineering challenges
Expertise with advanced machine learning models related to antibody engineering, such as language models, geometric deep learning, generative models, and multi-modal models
Proficiency in programming languages such as Python, R and C++
Ability to work with large datasets and cloud computing infrastructure
Strong organizational, time-management, and presentation skills
Enjoy working in a fast-paced, innovative, and cross-functional team

Nice to Have

Experience with structural modeling and design tools such as Rosetta
Experience in constructing DNA and protein production for screening in silico design

Qualifications

PhD in Computational Biology, Bioinformatics, Computer Science, Structural Biology or a related field
7-10 years of relevant experience

Benefits & Perks

Comprehensive benefits which often include health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels