Quantum Analyst - Internship

About Us

QClairvoyance Quantum Labs is a startup pioneering quantum computing fordrug discovery. Our mission is to revolutionize the pharmaceutical industrythrough innovative quantum technologies.

PositionOverview

We are seeking a Quantum Analyst (Intern) to join our R&D team at QClairvoyanceQuantum Labs. The role focuses on developing and applying quantumalgorithms using platforms like Qiskit to solve real-world problems in quantumcomputing and molecular simulations. The ideal candidate will have a strong

foundation in quantum mechanics and programming, with a passion forinnovation at the intersection of quantum science and emerging technologies.Knowledge in pharmacy/bio-informatics is a plus.

KeyResponsibilities

Develop and optimize quantum algorithms for chemical and biologicalsystems.

Work with Qiskit, Pennylane, CUDA-Q, or similar frameworks forquantum circuit design and simulation.

Collaborate with AI/ML engineers and computational chemists to model proteinligand interactions using hybrid quantum-classical approaches.

Analyze quantum simulation outputs and interpret results in a biological orchemical context.

Contribute to patent filings, scientific and software documentation.

Qualifications Required:

A Master's degree in Quantum Computing is preferred.

Candidates with a Ph.D. in Physics, Computational Chemistry, or relatedfields will also be considered.

Strong foundation in quantum mechanics, quantum information theory, andquantum algorithms.

Proficiency in Python, with experience using libraries such as Qiskit Ecosystem, Pennylane, and CUDA-Q.

Knowledge of molecular modelling, computational chemistry, or drug discovery pipelines is a strong advantage.

Experience with machine learning, artificial intelligence, and quantum machine learning (QML) is a plus.

Preferred:

Proficiency in Python and scientific computing libraries (NumPy, SciPy,etc.)

Solid understanding of quantum algorithms (e.g., QPE, QFT) and quantum circuit design.

Familiarity with hybrid quantum-classical approaches (e.g., VQE, QAOA).

Hands-on experience with Qiskit, CUDA-Q, Pennylane, or other quantumprogramming frameworks.

Experience working with high-performance scientific computing environments is a plus.

Background in quantum chemistry, molecular modelling, or computationalphysics.

Exposure to machine learning or data science concepts.

Strong analytical and problem-solving skills.

Prior research experience or publication in relevant areas is a plus.

What We Offer

Opportunity to work with cutting-edge quantum technologies.

Innovative and collaborative startup environment.

Competitive salary and benefits.

Professional development and collaboration opportunities.

ApplicationProcess

Interested candidates should submit their detailed CV and cover letter on LinkedIn and/or to [HIDDEN TEXT]