Quantum Algorithm Developer

We’re Hiring | Quantum Algorithm Developer Quantum x Labs is looking for a talented Quantum Algorithm Developer to join our team and help develop the next generation of computational approaches for clinical and biological data analysis. At quantum x Labs, we are building a hybrid quantum–classical platform designed to uncover complex patterns in high-dimensional clinical and multi-omics data, with the goal of identifying biomarkers, biological subgroups, and mechanisms associated with treatment response. What you’ll do: Develop and implement quantum and hybrid quantum–classical algorithms for high-dimensional data analysis Design approaches for optimization, correlation discovery, clustering, and biomarker identification Translate real-world clinical datasets into quantum-compatible representations Benchmark quantum approaches against classical optimization and machine-learning methods Run and optimize algorithms on quantum hardware, simulators, and GPU/HPC environments Work closely with data scientists and biomedical experts to translate computational findings into meaningful biological insights What we’re looking for: 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 frameworks such as Qiskit, PennyLane, Cirq , or similar Strong Python and algorithm-development skills Experience in optimization, machine learning, graph algorithms, or high-dimensional data analysis Ability to move from theoretical concepts to practical, testable implementations Experience with biomedical, clinical, or multi-omics data is a plus, but not mandatory We’re looking for someone who enjoys solving hard computational problems and wants to apply quantum computing to real-world challenges with potential clinical impact . 📍 Israel | Hybrid / Flexible 📩 Interested? Send your CV to tidhar@cliniquantum.com or reach out directly ( www.linkedin.com/in/tidharturgeman) . Show more Show less