Quantum Computing Advisor (San Francisco)

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 quantumclassical 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 :

Preferred :