We are seeking summer intern candidates with proven interest and experience in developing advanced computational methods and pipelines, applied to accelerated drug discovery.
Your Role and Responsibilities:
This is for a 2025 summer internship with the following start dates: May – August or June – September for quarter system schools.
Successful candidates will work on creating, designing and applying new pipelines, tools and methods for AI foundational models or quantum computing used to accelerate the research and discovery of new targets and drug candidates. Specific projects may involve:
- Building ML applications and UI tools (using Streamlit, React, Flask, or Django) for model interaction and visualization in a cloud environment leveraging Docker, OpenShift, Git, Travis, and other tools;
- Implementing deep learning models using PyTorch for drug discovery applications and performing distributed training to optimize model performance;
- Efficiently managing, querying, and processing biological and chemical data using relational and key-value store databases.
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