Summary
Join our world-class ML team at Genesis Therapeutics to drive cutting-edge research for drug discovery and contribute to finding cures for a wider range of diseases, faster than ever before. As a key member of the team, you will be responsible for driving speed and accuracy improvements in our ML platform, keeping up with deep learning research, and working closely with software engineers and medicinal chemists.
Requirements
- Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields
- Strong background in machine learning, deep learning, and/or related areas
- A deep thinker who reasons from first principles over pattern matching
Responsibilities
- 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
Benefits
- 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
