Staff Scientific Computing Engineer - Quantum Education
Core
Design and implement training programs, workshops, tutorials, and documentation to help scientists use quantum computing for biomedical and chemical research.
Role type
Staff Scientific Computing Engineer (Quantum Education)
Builds
Educational ecosystem including training modules, workshops, documentation, and reproducible demonstration workflows for quantum computing.
Domain
Biomedical sciences, pediatric research, quantum computing, and quantum chemistry.
Deliverable
product features
Required skills
Scientific computing, applied computational fields (ML, algorithms, modeling, HPC), programming in multiple languages, scientific data analysis, code optimization, scientific software development.
Preferred skills
Quantum computing expertise, quantum algorithms, quantum machine learning, quantum programming frameworks (Qiskit, CUDA-Q, Pennylane), deep learning frameworks (PyTorch, TensorFlow), quantum chemistry, scientific documentation, curriculum design, mentoring.
Technologies
Qiskit, CUDA-Q, Pennylane, PyTorch, TensorFlow, Python.
Responsibilities
Develop and maintain educational materials (tutorials, lecture content, coding examples); Provide technical training and onboarding for faculty and researchers; Create and deliver workshops, short courses, and hackathons; Design curricula tailored to biomedical applications; Build documentation and best-practice materials for quantum workflows; Maintain code repositories and example notebooks; Support collaborative research projects; Contribute to grant proposals and project reports.
Seniority
Staff, hands-on IC with mentorship and strategic design responsibilities.
