Quantum Computing Advisor

Type: Part-Time Advisory Role

Location: Remote (preferred)

Team: Scientific Simulation and Infrastructure Strategy

Compensation: Equity + advisory stipend + high-impact leadership trajectory

Company Vision:

Our client's vision is to engineer the next step in human evolution - the emergence of Human 2.0, a species with drastically extended healthspan and enhanced intelligence. We are building an AI-powered end-to-end drug development simulator that unifies biological, chemical, and mathematical data across the pharmaceutical pipeline - from discovery through clinical and regulatory phases - accessible through intelligent, natural-language interfaces.

In the near term, we aim to deliver a proof of concept within 6 months, demonstrating the feasibility of this unified simulation platform, paving the way for large-scale institutional funding and team expansion.

Role Overview

The client is seeking a Quantum Computing and Cheminformatics Advisor to pioneer the integration of quantum computation and ML-driven molecular modeling within their simulation engine. This role combines quantum algorithmic innovation, AI-based molecular modeling, and strategic infrastructure planning to accelerate molecular discovery and simulation.

You will collaborate across disciplines - quantum computing, AI, and computational chemistry - to guide both technical design and long-term scientific strategy. This is a high-impact, leadership-track position ideal for a visionary scientist aiming to grow into a CTO or CSO role in a deep-tech company.

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 (e.g., drug design, catalysis, energy materials).
• Collaborate with quantum algorithm experts and internal AI teams to integrate hybrid quantum–classical workflows.
• Advise on vendor selection, performance benchmarking, and platform integration for quantum computing providers.
• Lead development of scalable quantum simulation infrastructure, including planning for in-house quantum systems.
• Serve as a technical and scientific lead, communicating findings through reports, publications, and presentations.
• Stay abreast of advancements in AI, computational chemistry, and quantum computing, identifying opportunities for platform enhancement.

Qualifications:

Required:

• 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 with strong focus on machine learning for molecular modeling or materials discovery
• 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.

Preferred:

• Experience with quantum chemistry and molecular modeling techniques (e.g., DFT, UCCSD, molecular dynamics).
• Familiarity with property prediction, molecular fingerprints, and generative AI for materials or drug discovery.
• Exposure to GPU-accelerated ML, high-performance computing, or hybrid quantum–classical simulations.
• Prior leadership in computational R&D, scientific collaboration, or platform design.
• What You Get
• Founding-level equity in a high-upside, deep-technology venture.
• Opportunity to define the quantum-AI architecture of one of the world’s most advanced simulation platforms.
• Clear leadership trajectory toward CTO or CSO roles.
• Full remote flexibility, with plans for a US-based HQ post-funding.