Software Engineer Intern
AI-focused biotechnology company developing molecular-AI systems and small-molecule drug candidates for internal programs and pharmaceutical partners.
Funding history
About Genesis Molecular AI
Genesis Molecular AI combines foundation models, generative and predictive AI, and physics-based computation in its GEMS platform for small- and medium-size-molecule drug discovery.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and expand tools for visualizing molecules and proteins, analyzing machine learning models, and managing chemical workflows. You will collaborate with machine learning engineers and medicinal chemists to develop and productionize computational methods for molecular property prediction. You will also help scale infrastructure for large-scale deep learning and molecular dynamics workloads.
Requirements
- Strong software engineering skills
- Ability to write code quickly while upholding code quality standards
- Interest in learning about biochemistry and the drug development process
Responsibilities
- Build and expand tools for visualizing molecules and proteins, analyzing machine learning models, and managing chemical workflows
- Develop and productionize computational methods for molecular property prediction with machine learning engineers and medicinal chemists
- Scale core infrastructure for billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs