
Qubit Pharmaceuticals is a drug discovery company that utilizes quantum physics and artificial intelligence to design novel drug candidates for major diseases. Their proprietary ATLAS platform, developed over 30 years of research, offers high-precision molecular simulation and modeling, reducing drug candidate selection and optimization time by half and decreasing experimental validation needs tenfold. The company focuses on oncology, inflammation, and pandemic response, with a pipeline of fully owned and partnered programs. Their team of over 60 experts is based in Paris, Boston, and Chicago, with founders leading world-renowned quantum labs. They aim to shift the drug discovery paradigm from 'drug hunting' to 'drug farming'.

Qubit Pharmaceuticals is a drug discovery company that utilizes quantum physics and artificial intelligence to design novel drug candidates for major diseases. Their proprietary ATLAS platform, developed over 30 years of research, offers high-precision molecular simulation and modeling, reducing drug candidate selection and optimization time by half and decreasing experimental validation needs tenfold. The company focuses on oncology, inflammation, and pandemic response, with a pipeline of fully owned and partnered programs. Their team of over 60 experts is based in Paris, Boston, and Chicago, with founders leading world-renowned quantum labs. They aim to shift the drug discovery paradigm from 'drug hunting' to 'drug farming'.
Founded: 2020
Headquarters / Offices: Paris (headquarters); Boston and Chicago (U.S. presence)
Core technology: ATLAS platform: quantum physics + AI for high-precision molecular simulation
Therapeutic focus: Oncology, inflammation, antivirals/pandemic response
Team size: ~60 employees
Drug discovery and molecular simulation for therapeutics (oncology, inflammation, antivirals).
2020
Biotechnology
Grant listed on company profiles/Crunchbase
Seed round date listed on company profiles/Crunchbase
4500000
Company announced a €4.5M investment program; Bpifrance committed €2M under national programs
“European Innovation Council; Omnes Capital; Octave Klaba; Quantonation; XAnge; Bpifrance”
Qubit Pharmaceuticals is a French-American deeptech startup, focusing on discovering novel molecules for complex targets in healthcare and materials science. We leverage proprietary molecular simulation and quantum-physics based modeling technology to develop our own discovery programs that we either co-develop with or license out to pharmaceutical and industrial partners. This enables us to design more effective and safer drug candidates, aiming to significantly reduce the time and investment needed for discovery. In just 18 months, Qubit Pharmaceuticals grew its portfolio to 7 programs in oncology, immunology & antivirals.
Our cutting-edge technology is based on over 30 years of research by our academic founders, and relies on three main components: in-depth expertise in computational science and high-performance computing (HPC), quantum chemistry and artificial intelligence algorithms, and a powerful, automated cloud platform for molecular simulation with chemical accuracy. We recently announced the launch of the world's most powerful AI foundation model for molecular simulation.
Qubit Pharmaceuticals is looking for a to lead the development of foundation models for chemistry
At Qubit Pharmaceuticals, we are looking for a Senior Machine Learning and Quantum Chemistry Scientist who is quick at adapting to new challenges and issues. This person will be eager to learn, meet the needs of users, and work in a collaborative process with teammates and across multiple teams.
As a member of the Research team, you will be responsible for the Quantum Chemistry Foundation Model development, including molecules quantum datasets selection, model training, coding, testing and validation.
Master degree or equivalent in Applied Maths / Computer Science / Chemistry
PhD in Quantum Chemistry and Machine learning is strongly preferred
Minimum of 5 years work experience (including PhD) is required
Knowledge of quantum chemistry is strongly preferred
Proficiency in active learning, architecture, and training methods, related to Machine Learning Force Field, Machine Learning Interaction Potentials, Neural Networks Potentials
Ability to motivate and lead a project team
Excellent communication skills for explaining complex concepts to non-specialists
Agility in a startup environment (changing priorities, multiple projects)
Open-source code development and maintenance is valuable