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# Postdoctoral Researcher - Cheminformatics, DELs & AI (F/M)

- **Company:** Groupe Servier
- **Location:** Saclay, France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Cloud Computing, Computer Programming, Databases, Github, Python (Programming Language), Machine Learning, Google Cloud, Information Technology, Data Management
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=03fc66fc2659605b

## About the Role

+ Educational Background: PhD degree in Chemoinformatics, Computational Chemistry, Data Science, Bioinformatics, or a closely related computational discipline.
 + Programming: Advanced proficiency in Python.
 + Cheminformatics: Expertise in toolkits such as RDKit and DNA-encoded library (DEL) informatics.
 + Artificial Intelligence: Applied experience in Machine Learning and Deep Learning frameworks.
 + Cloud and Tools: Strong expertise in GitHub and experience with Google Cloud Platform (GCP).
 + Soft Skills: Scientific acumen, boldness, creativity, and the ability to work effectively in project mode within interdisciplinary teams.
 + Communication: Excellent written and oral communication skills in English.

We are committed to equal opportunity and the development of talent in all its diversity. We value experience as much as the desire to commit daily to being useful to therapeutic progress for the benefit of patients. If you recognize yourself in this offer and these few lines, take this opportunity to meet us.

## Description

* Workflow Development: Produce and implement robust, automated computational workflows for the comprehensive analysis of DNA-encoded library screening data.
 * Database Management: Manage the formatting, structuring, and organization of the DEL screening database, ensuring data quality and readiness for AI exploitation.
 * AI Model Training: Design, train, and optimize machine learning and deep learning models utilizing complex DEL datasets to predict molecular properties and activity.
 * Ultra-Large Library Screening: Deploy trained AI models to virtually screen ultra-large chemical libraries of billions of compounds to identify novel chemical entry points.
 * Cheminformatic Analysis: Perform large-scale screening data analysis to build SAR models and guide hit-to-lead processes.
 * Data Stewardship: Manage the curation of DEL screening results to foster FAIR data principles.
 * Cross-Functional Collaboration: Partner with interdisciplinary teams across R&D to advance computational tools for hit discovery.