Senior Principal Scientist – AI/ML Antibody Design & Engineering
| Company | Regeneron Pharmaceuticals |
|---|---|
| Location | Tarrytown, NY, USA |
| Salary | $148300 – $241900 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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 track record of innovation and research accomplishments in developing AI/ML methods and using deep learning tools to successfully solve antibody/protein engineering challenges
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 managements
Preferred Qualifications
- 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