Research Scientist (M/F) Active Learning and Quantum Chemistry

Qubit Pharmaceuticals; Paris; Hybride; EUR 80 000 - 100 000; Plein temps

Résumé du poste

A biotech startup is seeking a Research Scientist specializing in Active Learning and Quantum Chemistry. This role involves developing methods to tackle challenges in drug discovery and AI Foundations Models. Candidates should have a Master's degree in relevant fields and ideally a PhD, along with significant experience in quantum chemistry and programming. Benefits include health insurance and the possibility of remote work. Join a dynamic team in Paris focused on innovative solutions in healthcare.

Prestations

Health insurance and provident fund 100% covered

Lunch vouchers worth €9 covered at 50%

Possibility of remote work for 2 days per week

Qualifications

• Master's 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.
• Deep theoretical and practical knowledge of active learning and quantum chemistry is strongly preferred.
• Proficiency in programming, with expertise in Python being essential.

Responsabilités

• Develop new methods to solve practical and challenging problems in Active Learning and Quantum Chemistry.
• Communicate the results of your research through publications and presentations.
• Provide technical support to users.

Connaissances

Active Learning

Quantum Chemistry

Python

Machine Learning

High-Performance Computing

Formation

Master's degree in Applied Maths / Computer Science / Chemistry

PhD in Quantum Chemistry or Machine learning

Outils

Gaussian

VASP

ORCA

Description du poste

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 Research Scientist, Active Learning and Quantum Chemistry to support the development of foundation models for chemistry.

The perfect fit for this job

At Qubit Pharmaceuticals, we are looking for a Research Scientist, Active 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.

Your role

As a member of the Research team, you will be responsible for the Active Learning and Quantum Chemistry to support development of AI Foundations Models, including molecular quantum datasets selection and generation.

• Develop new methods to solve practical and challenging problems in Active Learning and Quantum Chemistry applied to chemistry & drug discovery
• Communicate the results of your research by filing patent applications, publishing peer-reviewed papers and giving presentations at research conferences
• Provide technical support to users

Your qualifications and skills

• 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
• Deep theoretical and practical knowledge of active learning and quantum chemistry is strongly preferred
• Proficiency with quantum chemistry (QM) methods and software (e.g., Gaussian, VASP, ORCA) for generating high-quality training data
• Experience in active learning, architecture, and training methods, related to Machine Learning Force Field, Machine Learning Interaction Potentials, Neural Networks Potentials
• Proficiency in programming, with expertise in Python being essential
• Experience with High-Performance Computing (HPC) environments
• Good 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

The proposal benefits & perks

• Duration: Full time – Permanent
• Starting from March 2026
• Salary according to profile
• Health insurance and provident fund 100% covered
• Lunch vouchers worth €9 covered at 50%.
• Location: Paris 14th arrondissement
• Possibility of remote work for 2 days per week.