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Precision BioPartners

Deep Learning Scientist

πŸ“
Cambridge, MA
πŸ§ͺ
Mid-Senior level

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.

Key informations

🧳
Full-time
πŸ“…
Posted a few seconds ago

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