Computational Chemistry Scientist - CDD 18 mois

Servier France; Gif-sur-Yvette; Sur place; EUR 65 000 - 75 000; Plein temps

Avantages offerts par ce poste

RTT 23 jours + 27 jours de congés ann

Télétravail possible selon le poste

Bonus performance et participation

Résumé du poste

Servier France recherche un Scientifique en Chimie Computationnelle pour soutenir des projets thérapeutiques par des approches IA et Cloud computing. Le candidat travaillera avec les équipes Chimie, Data Science et Data Factory afin d’accélérer la découverte moléculaire et de déployer des environnements cloud reproductibles.

Le poste requiert un PhD en ML ou Chimie Computationnelle et 2–3 ans d’expérience industrielle en technologies cloud, Python et outils associés.

Qualifications

• Docteur en ML appliqué à la découverte de médicaments ou en chimie computationnelle.
• Expérience 2–3 ans en technologies cloud en milieu industriel.
• Maîtrise des outils Python pour la data science et ML.

Responsabilités

• Appliquer des approches IA pour accélérer la découverte de molécules bioactives.
• Mettre en place et déployer des environnements cloud (GCP) et des environnements reproductibles (Docker).
• Collaborer avec les équipes Médecine, Data Science et Data Factory.
• Contribuer à l’UX GitHub et à la montée en compétence sur les technologies cloud.

Connaissances

Machine Learning

Cloud computing

Python

Docker

GitHub

Jupyter

Anaconda

Anglais

Français

Formation

PhD en ML pour Drug Discovery

PhD en Computational Chemistry

Outils

GCP

Docker

Jupyter Notebook

GitHub

Description du poste

Date de parution: 18 août 2026

Ville: GIF‑SUR‑YVETTE

Pays/Région: FR

Type de contrat: CDD

N° offre: 7921

Computational Chemistry Scientist - CDD 18 mois

We are a human‑sized, international, and independent pharmaceutical group, governed by a Foundation. Our unique model is a source of pride, but above all, it allows us to fully serve our mission: “Committed to therapeutic progress for the benefit of patients.”

Today, a global leader in cardiology, we have chosen to become a focused and innovative player in oncology by 2030, targeting hard‑to‑treat cancers and dedicating more than 70% of our R&D budget to this area. We are committed to equal opportunities and the development of talent in all its diversity. We value both experience and the willingness to engage daily to contribute to therapeutic progress for the benefit of patients. If you see yourself reflected in this offer and these few lines, seize the opportunity to meet us. We pursue this challenge alongside the development of our generics business, ensuring access to quality care for all, at a lower cost.

Who are we? More than 20,000 passionate individuals from over 50 nationalities, driven by an entrepreneurial spirit. Every day, we move forward with and for patients, with and for our teams, guided by the desire to care, to take risks, to grow, and to commit ourselves to be useful to those in need.

Come experience and help bring our commitment to life: #MovedByYou

www.servier.com

About our R&D Institute in Paris Saclay:

At the heart of one of the world's top eight innovation clusters, the Servier R&D Institute at Paris‑Saclay is where visionary science meets a powerful global ecosystem. By uniting our Group's innovation potential with this prestigious center of excellence, we are not only accelerating the future of therapeutic discovery but also championing the global influence of French research.

About the role:

The primary objective is to provide expert support to therapeutic research projects by leveraging cutting‑edge Computational Chemistry approaches with a strong focus on Artificial Intelligence and Cloud Computing technologies. In partnership with the Chemistry, Data Science and Data Factory internal stakeholders, the successful candidate will be a key driver in applying AI methods to accelerate the discovery of new innovative molecular entities. They will actively participate in the implementation of new AI‑based technologies and lead the technical upskilling of the team on Cloud environments.

Your main responsibilities:

• Implement and deploy new AI technologies specifically applied to the design of bioactive molecules, including generative and predictive approaches. Ensure new initiatives appear in the AI Roadmap and influence development directions.
• Devise and execute computational chemistry strategies to design new bioactive molecules using advanced molecular modeling, chemoinformatics and Machine Learning techniques. Explore small molecules and biologics modalities, including monoclonal antibodies (mAb) and PROTACS.
• Establish strong partnerships and provide quality support to internal stakeholders of the Computational Chemistry team, particularly: Medicinal Chemistry team leaders, the Pole of Activity Data Science Data Management and the ADME/Tox department.
• Deploy and maintain development environments (Anaconda, Jupyter Notebook) in the cloud environment on GCP. Use Docker files to create reproducible and portable computing environments.
• Contribute to the team's GitHub, ensuring best practices for versioning and sharing Python code. Lead the training and upskilling of Computational Chemistry team members on Cloud technologies.

What we’re looking for :

• Background: PhD in Machine Learning for Drug Discovery or in Computational Chemistry. 2–3 years of proven experience leveraging cloud-based technologies within an industrial setting.
• Hard Skills :

• Demonstrated skills in Machine Learning and Cloud technologies.
• Solid knowledge in computer-aided design of bioactive molecules across a range of biological target classes.
• Good proficiency in Python (Data Science stack).
• Familiarity with Anaconda, Jupyter Notebook, and GitHub
• Knowledge of containerization concepts (Docker)
• Familiarity with pharmacology and medicinal chemistry concepts.
• Track record of scientific contributions, including as the first author in peer-reviewed publications.
• Language skills : Strong oral and written communication skills in English (preferably also in French).

Soft skills:

• Ability to work collaboratively in a team-oriented environment, with full autonomy.
• Aptitude for tackling challenging questions and developing bold and creative solutions in drug discovery.
• Strong capacity for knowledge transfer and upskilling team members on emerging AI technologies and methodologies.

What We Offer:

A dynamic and supportive environment with:

• 23 RTT days + 27 vacation days per year
• Teleworking possibility based on the position
• Performance‑related and profit‑sharing bonuses
• Premium health insurance and welfare coverage
• Numerous employee benefits (vouchers, bonuses, cultural and sports discounts)
• Modern facilities, subsidized restaurant, and gym access at some sites
• Certified Top Employer (France & Europe) for 3 years running

We are committed to equal opportunities and the development of talent in all its diversity. We value both experience and the willingness to engage daily to contribute to therapeutic progress for the benefit of patients. If you see yourself reflected in this offer and these few lines, seize the opportunity to meet us.