Blue Signal Search
Quantum Computing Advisor (San Francisco)
Blue Signal Search, San Francisco, California, United States, 94199
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: 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 MLmolecular 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 quantumclassical 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 worlds most advanced simulation platforms. Clear leadership trajectory toward CTO or CSO roles. Full remote flexibility, with plans for a US-based HQ post-funding.
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: 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 MLmolecular 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 quantumclassical 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 worlds most advanced simulation platforms. Clear leadership trajectory toward CTO or CSO roles. Full remote flexibility, with plans for a US-based HQ post-funding.