Quantum Analyst - Internship

Location: Prakāshamnagar

About Us
QClairvoyance Quantum Labs is a startup pioneering quantum computing for drug discovery. Our mission is to revolutionize the pharmaceutical industry through innovative quantum technologies.

Position Overview
We are seeking a Quantum Analyst (Intern) to join our R&D team at QClairvoyance Quantum Labs. The role focuses on developing and applying quantum algorithms using platforms like Qiskit to solve real-world problems in quantum computing and molecular simulations. The ideal candidate will have a strong
foundation in quantum mechanics and programming, with a passion for innovation at the intersection of quantum science and emerging technologies. Knowledge in pharmacy/bio-informatics is a plus.

Key Responsibilities

• Develop and optimize quantum algorithms for chemical and biological systems.

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

• Collaborate with AI/ML engineers and computational chemists to model protein–ligand interactions using hybrid quantum-classical approaches.

• Analyze quantum simulation outputs and interpret results in a biological or chemical 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 related fields will also be considered.

• Strong foundation in quantum mechanics, quantum information theory, and quantum 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 (Num Py, Sci Py, 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 quantum programming frameworks.

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

• Background in quantum chemistry, molecular modelling, or computational physics.

• 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.

Application Process

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