St. Jude Children's Research Hospital's Quantum AI for Bio (QAI4Bio) Lab is seeking a student intern to develop and apply deep learning methods to solve problems in drug discovery, biology, and quantum chemistry, aiming to advance the hospital's mission of ensuring no child dies at the dawn of life.
Requirements
- Proven hands-on experience in deep learning through projects, research, or previous internships.
- Proficiency in at least one major deep learning framework, such as PyTorch or TensorFlow.
- Experience with various deep learning architectures (e.g., GNNs, CNNs, Transformers, Diffusion Models).
- Excellent programming skills in Python.
- Experience with cloud or HPC environments and GPU-based training pipelines
Responsibilities
- Design, implement, and optimize novel deep learning architectures for applications in drug discovery, biology, or quantum chemistry.
- Train and rigorously evaluate the performance of deep learning models.
- Integrate and deploy models into our computational discovery pipelines.
- Collaborate with an interdisciplinary team of computational chemists, structural biologists, and experimental scientists.
- Contribute to high-impact scientific publications and present research findings.
Other
- Actively enrolled as a student in a BS, MS, or PhD program at an accredited university.
- The ability to work independently on a defined project with moderate supervision.
- A degree (BS, MS, or PhD) in Computer Science, Machine Learning, Mathematics, Physics, Chemistry, Engineering, or a related discipline.
- Familiarity with molecular modeling software (e.g., RDKit, OpenBabel) and/or structural biology concepts is desirable, but not required.
