St. Jude Children's Research Hospital is seeking to leverage quantum computing and quantum machine learning for applications in drug discovery, biology, and quantum chemistry to advance their mission of finding cures and saving children.
Requirements
- Proven hands-on experience in quantum computing through projects, research, or previous internships.
- Proficiency in at least one quantum computing software framework, such as Qiskit
- Excellent programming skills in Python.
- Familiarity with molecular modeling software (e.g., RDKit, OpenBabel) and/or structural biology concepts is desirable, but not required.
- Experience with cloud or HPC environments and GPU-based training pipelines
Responsibilities
- Design, implement, and optimize quantum computing/quantum machine learning methods for applications in drug discovery, biology, or quantum chemistry.
- 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.
- A degree (BS, MS, or PhD) in Computer Science, Machine Learning, Mathematics, Physics, Chemistry, Engineering, or a related discipline.
- This is an opportunity to develop independent research skills