Deep Learning Scientist

We are looking for a researcher with a strong understanding of ML theory and who is skilled in developing novel deep-learning approaches to drug discovery and development. This will be a healthy mix of novel ML research with a component of ML Ops.

This is an opportunity to join a solid and tenured Biotech driven by an elite scientific leadership team with incredible resources to computation as a key pillar of the organization. Work in a creative environment and impact ML research and patient populations with serious unmet needs.

Opportunity to:

• Work with a stellar computational team and a biotech that values computational sciences in an interdisciplinary setting with excellent resources.
• Develop state-of-the-art Deep Learning approaches to solve long-standing problems in Biology.
• Build novel architectures.
• Develop highly sophisticated models to reduce the time and cost required to develop novel therapeutics.
• Collaborate with experts in Computational Biology, Computational Chemistry, and Software Engineering.

We are looking for:

• Advanced Degree in Computer Science, Mathematics, Physics, or related quantitative discipline.
• Strong background in Mathematics with a focus on areas relevant to Machine Learning (Linear Algebra, Calculus, Statistics, and Probability Theory)
• Drug Discovery/Development experience developing new ML and deep learning approaches.
• Experience working with protein structure and folding sequence data.
• Formal training in Deep Learning and experience with one or more of the following: Graph, Neural Networks, Transformers, Diffusion Models
• Proven record of productivity and independence in the field of Deep Learning as evidenced by scientific publications or publicly available projects

You will stand out:

• If you've worked with antibody drug discovery

*Must be authorized to work in the US.