Join TechBio Companies Driving Patient Impact

Sponsored by Alix Ventures

Post a job // Join our newsletter
BIOS Community
BIOS Community

ML Research Intern

Genesis Therapeutics

Genesis Therapeutics

Software Engineering, Data Science
Burlingame, CA, USA
Posted on Wednesday, September 29, 2021
Genesis is building a world-class ML team in an industry that has underutilized computational methods for too long. We are creating the best molecular generation and property prediction platform in the world, filling in a critical piece in the drug discovery process. We need you to drive the cutting-edge research that will enable us to find cures for a wider range of diseases, faster than ever before.

You will

  • Drive speed and accuracy improvements in our ML platform, coming up with architecture modifications for 2D and 3D graph neural networks, and rapidly implementing and testing them in pytorch
  • Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature
  • Dive deep into molecular datasets, creating statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
  • Develop creative featurizations of 2D and 3D molecular structures that are inspired by laws of physics and chemistry, enabling our networks to take better advantage of available data
  • Work closely with software engineers and medicinal chemists to make our ML platform maximally adaptive to different use cases

You are

  • A strong software engineer who will write code quickly and uphold our code quality standards
  • A deep thinker who reasons from first principles over pattern matching
  • Interested in learning about biochemistry and the drug development process

What we offer

  • The opportunity to work on challenging, high impact ML research that is immediately deployed to accelerate the discovery of new medicines
  • One-on-one mentorship to help guide your research and act as a point person for questions
  • Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas