ML Research Intern

Summary

The job involves driving improvements in ML platform for drug discovery, keeping up with deep learning research, diving into molecular datasets, developing creative featurizations of 2D and 3D molecular structures, and collaborating with software engineers and medicinal chemists. The position is at Genesis Therapeutics, a company unifying AI and biotech to discover novel treatments for severe conditions.

Requirements

• Strong software engineering skills
• Ability to write code quickly
• Uphold code quality standards
• Interest in learning about biochemistry and the drug development process

Responsibilities

• Drive speed and accuracy improvements in our ML platform
• Come up with architecture modifications for 2D and 3D graph neural networks
• Rapidly implement and test these modifications in pytorch
• Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models
• Prototype ideas gleaned from the literature quickly
• Create statistically rigorous train, valid, and test sets for optimal model training
• Develop creative featurizations of 2D and 3D molecular structures inspired by laws of physics and chemistry

Benefits

• 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 guide research and act as a point person for questions
• Strong technical coworkers who read and discuss 1-2 ML or chemistry papers every week