Ai & Deep Learning Researcher

This is an opportunity to join an organization driven by computation with both novel research and applied teams in place; we are looking for a candidate with a STRONG understanding of mathematics and experience working with novel deep learning approaches. Having experience working to solve biological problems is a plus but not required. We do want to hire someone who has a deep understanding of theory and training/experience working with graph neural networks, diffusion models, and/or transformers. Apply today to learn more!

Collaborate with our team and make an impact by:

• Train cutting-edge Neural Networks on complex biological data
• Build Neural Network architectures
• Develop highly sophisticated models to reduce the time/cost related to therapeutics development
• Develop Deep Learning approaches to solving long-standing problems in Biology

We would love to hear from you about your background in:

• Ph.D. in Computer Science, Machine Learning, Mathematics, Data Science, Statistics, Physics, or a related field.
• Proven record of productivity and independence in the field of Deep Learning as evidenced by scientific publications or publicly available projects
• Proficiency with Python and Machine Learning frameworks (PyTorch or TensorFlow)
• Formal training in Deep Learning and experience with one or more of the following: Graph Neural Networks, Diffusion Models. Transformers
• Strong background in Mathematics (Linear Algebra, Calculus, Statistics, and Probability Theory)

Extra bonus if you have worked with the following:

• Group Theory
• Biological data