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 an Intern (M/F) in its product and engineering team. He or she will participate in the construction of our molecular simulation platform (Atlas) by developing and improving our chemoinformatics tools used by our internal modelers.
The perfect fit for this job
We are looking for a detail-oriented engineer with strong analytical and problem-solving abilities. This role requires a unique blend of scientific understanding, strong communication skills to collaborate with a cross-functional expert team, and proven expertise in software development. A background, or at least a strong interest in chemistry and statistical mechanics is a real plus.
Your role
Our Atlas platform functions as an orchestrator to build and launch complex digital experiments on molecular systems. It leverages the best academic tools (thinker HP, FeNNix-Bio, VTX, amoeba) and the best existing computing technologies (GPU, CPU, QPU).
Your role will be to participate in enhancing and robustifying our chemoinformatic library, available on Atlas. This library is a critical and powerful suite of tools used to prepare, validate, analyse and edit our chemical data at each stage of our simulations. It is a strategic asset, as these tools are used in almost every scientific calculation. The library is mainly built in python and is served to users with an infrastructure as code approach (CI/CD, docker, kubernetes…). The backend is in Ruby on Rails and uses robust server-side logic and APIs to support user interfaces.
The goal of this internship is to explore state-of-the-art methods to manipulate chemical data, and to implement concrete tools to support our modelers and molecule researchers.
Your qualifications and skills
- Master 1 or Master 2
- Programming experience in Python and object-oriented language, or a strong willingness to learn
- Interest in chemical data management.
The proposal benefits & perks
- Duration: 4 to 6 months
- Starting from February 2026
- Lunch vouchers worth €9 covered at 50%.
- Location: Paris 14th arrondissement.
