Postdoc: Cheminformatics & AI for Drug Discovery

Servier France

Saclay

Vor Ort

EUR 38.000 - 48.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Servier France is seeking a Postdoctoral Researcher to advance chemoinformatics, DELs and AI. The role focuses on building automated workflows for DEL data analysis, training ML/DL models, and applying AI to ultra-large chemical libraries.

The candidate will manage DEL data, collaborate with cross-functional R&D teams, and ensure data quality and FAIR data stewardship while communicating scientific results in English.

Qualifikationen

  • PhD in a computational discipline related to chemoinformatics or data science.
  • Advanced Python programming.
  • Expertise with RDKit and DEL informatics.
  • Experience with ML and DL frameworks.
  • Proficiency with GitHub and Google Cloud Platform.
  • Strong scientific communication in English.

Aufgaben

  • Develop automated workflows for DEL data analysis.
  • Manage DEL screening database formatting and quality.
  • Design and optimize ML/DL models for property prediction.
  • Virtually screen billions of compounds with AI models.
  • Build SAR models and guide hit-to-lead processes.
  • Foster FAIR data curation of screening results.
  • Collaborate with interdisciplinary R&D teams.

Kenntnisse

Python
RDKit
DEL informatics
Machine learning
Deep learning
GitHub
GCP
English communication

Ausbildung

PhD in Chemoinformatics
PhD in Computational Chemistry
PhD in Data Science
PhD in Bioinformatics

Tools

GitHub
Google Cloud Platform

Jobbeschreibung

Servier France is seeking a Postdoctoral Researcher to advance chemoinformatics, DELs and AI. The role focuses on building automated workflows for DEL data analysis, training ML/DL models, and applying AI to ultra-large chemical libraries.

The candidate will manage DEL data, collaborate with cross-functional R&D teams, and ensure data quality and FAIR data stewardship while communicating scientific results in English.

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