Quantum Computing Advisor

A company is looking for a Quantum Computing Advisor to integrate quantum computation and ML-driven molecular modeling within their simulation engine.

Key Responsibilities

Conduct innovative research combining quantum computing and ML-driven cheminformatics for molecular modeling and property prediction

Develop and apply machine learning models to accelerate molecular and materials discovery

Collaborate with quantum algorithm experts and internal AI teams to integrate hybrid quantum-classical workflows

Required Qualifications

Experience with quantum computing hardware and software ecosystems (e.g., IBM, IonQ, Qiskit, Pennylane)

Masters or Ph.D. in computational chemistry / physics, materials science, cheminformatics, or related field

Hands-on experience developing and applying ML models in cheminformatics, drug design, or materials science

Proficiency in Python and ML / scientific libraries (TensorFlow, PyTorch, scikit-learn)

Demonstrated ability to design integrated ML-molecular modeling workflows and publish in peer-reviewed venues