Regeneron Pharmaceuticals-posted 2 months ago
$148,300 - $241,900/Yr
Full-time • Senior
Tarrytown, NY
5,001-10,000 employees
Chemical Manufacturing

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.

  • 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
  • PhD in Computational Biology, Bioinformatics, Computer Science, Structural Biology or a related field
  • 7-10 years of relevant experience
  • Strong background in computational biology, programming, deep learning algorithms, structural biology and protein engineering
  • Expertise with advanced machine learning models related to antibody engineering, such as language model, geometric deep learning, generative model and multi-modal model
  • Proficiency in programming languages such as Python, R and C++
  • Competence to work with large dataset and cloud computing infrastructure
  • Strong organizational, time-management, and presentation skills
  • Experience in using structural modeling and design tools (e.g. Rosetta)
  • Experience in constructing DNA and protein production for screening in silico design
  • Health and wellness programs
  • Fitness centers
  • Equity awards
  • Annual bonuses
  • Paid time off for eligible employees at all levels
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