Advisor - Applied Deep Learning Architect

Lilly

San Diego, California, US
Base: $151,500 - $222,200; bonus/equity: compyny b...
Ph.d. in computer science or related field
Expertise in transformers and diffusion models
Proficiency in python and pytorch frameworks
This role involves designing next-generation deep learning models for in-silico drug discovery within the Biotechnology Discovery Research organization

Job Summary

  • This role involves designing next-generation deep learning models for in-silico drug discovery within the Biotechnology Discovery Research organization.
  • Candidates will collaborate cross-functionally to integrate biology with computational sciences to deliver novel biotherapeutic medicines.
  • The position offers a competitive salary range of $151,500 - $222,200 along with comprehensive benefits including 401(k) and wellness programs.

Matching Summary

This role involves designing next-generation deep learning models for in-silico drug discovery within the Biotechnology Discovery Research organization.

Salary

Base: $151,500 - $222,200; Bonus/Equity: Company bonus depending on performance; Benefits: 401(k), medical, dental, vision, vacation, and well-being programs

Skills & Requirements

Must-have

  • Ph.D. in Computer Science or related field
  • Expertise in transformers and diffusion models
  • Proficiency in Python and PyTorch frameworks
  • Experience with graph neural networks

Nice-to-have

  • Familiarity with protein language models like ESM
  • Experience integrating molecular dynamics simulations
  • Knowledge of wet-lab workflows and phage display
  • Strong publication record in top-tier venues

Key Requirements

  • Ph.D. required in CS, AI, Math, or Computational Biology
  • 1-3 years industry experience in deep learning architecture
  • Strong software engineering practices including Git and testing

Work Rights

Not specified

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