Senior Principal Scientist, AI/ML Antibody Design & Engineering
TARRYTOWN, United States
Full Time Senior-level / Expert USD 148K - 241K
Regeneron
Discover how Regeneron (NASDAQ: REGN) harmonizes biology and technology to create life-changing medicines. Join our team and explore clinical trials.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-art research facilities.
A typical day in the life of a Senior Principal Scientist AI/ML Antibody Design and Engineering may include the following responsibilties:
- 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 managements
This role may be for you if:
- You are a result-driven innovator and a problem solver
- You have a strong background in computational biology, programming, deep learning algorithms, structural biology and protein engineering
- You have expertise with advanced machine learning models related to antibody engineering, such as language model, geometric deep learning, generative model and multi-modal model
- You have proficiency in programming languages such as Python, R and C++
- You have competence to work with large dataset and cloud computing infrastructure
- You can efficiently coordinate multiple projects in a collaborative environment
- You have strong organizational, time-management, and presentation skills
- You enjoy working in a fast-paced, innovative and cross-functional team
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 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. Experience in constructing DNA and protein production for screening in silico design is preferred.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!
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)
$148,300.00 - $241,900.00Tags: Bioinformatics Biology Computer Science Data analysis Deep Learning Engineering Generative AI LLMs Machine Learning ML models PhD Protein engineering Python R Research
Perks/benefits: Career development Equity / stock options Health care Wellness
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