Senior Principal Scientist, AI/ML Antibody Design - Tarrytown - Regeneron Pharmaceuticals, Inc

    Regeneron Pharmaceuticals, Inc
    $178,000 - $223,000 per year *
    Description

    Overview

    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

    1. Utilize AI and machine learning techniques to design novel antibodies and bi/multi-specific antibodies that would be challenging to achieve from screening
    2. 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.
    3. Apply deep learning and generative AI techniques to train/enhance LLM or other relevant language models using internal datasets
    4. Use in silico protein/antibody engineering design tools such as Rosetta to drive for structure-based design and engineering
    5. Leverage deep target biology from broad therapeutic areas to enable desired novel MoAs through molecular design
    6. Collaborate and support scientists from antibody engineering, therapeutic areas and other tech centers with biotherapeutic design
    7. 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
    8. Serve as an expert in computational biologic design to keep up with the latest advancements in AI, machine learning, and protein engineering fields
    9. Maintain data analysis and records in well-organized fashion
    10. Presentation data clearly to teams and managements

    Requirements

    This role may be for you if:

    1. You are a result-driven innovator and a problem solver
    2. You have a strong background in computational biology, programming, deep learning algorithms, structural biology and protein engineering
    3. 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
    4. You have proficiency in programming languages such as Python, R and C++
    5. You have competence to work with large dataset and cloud computing infrastructure
    6. You can efficiently coordinate multiple projects in a collaborative environment
    7. You have strong organizational, time-management, and presentation skills
    8. You enjoy working in a fast-paced, innovative and cross-functional team

    Qualifications

    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.

    * This salary range is an estimation made by beBee
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