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Quantum Algorithm Developer
HybridFull-timeAI & Machine LearningHealthcare Technology
Develop quantum and hybrid quantum–classical approaches to analyze clinical and biological data and uncover patterns with potential clinical relevance. This is a full-time, hybrid or flexible role in Israel.
Responsibilities
- Develop quantum and hybrid quantum–classical algorithms for high-dimensional data analysis.
- Design methods for optimization, correlation discovery, clustering, and biomarker identification.
- Represent clinical datasets in forms suitable for quantum computing.
- Benchmark quantum approaches against classical optimization and machine-learning methods.
- Run and optimize algorithms on quantum hardware, simulators, and GPU/HPC environments.
- Collaborate with data scientists and biomedical experts to interpret computational findings.
Requirements
- MSc or PhD in physics, computer science, mathematics, engineering, or a related quantitative field.
- Strong background in quantum computing and quantum algorithms.
- Hands-on experience with Qiskit, PennyLane, Cirq, or similar frameworks.
- Strong Python and algorithm-development skills.
- Experience in optimization, machine learning, graph algorithms, or high-dimensional data analysis.
- Ability to turn theoretical concepts into practical, testable implementations.
Nice to have
- Experience with biomedical, clinical, or multi-omics data.