Postdoc in AI-Driven Chemoinformatics for Metabolomics

CNRS - National Center for Scientific Research; France; On-site; EUR 38,000 - 48,000; Full time

Job summary

CNRS, METAB-OMICS Unit in Lille, France, invites applications for a Postdoctoral researcher to develop AI- and chemoinformatic workflows for high-throughput LC-MS metabolomics data. The role includes data processing, AI-driven annotation, and advanced analytics, with collaboration across international partners.

The successful candidate will design and benchmark workflows, interpret results, and contribute to scientific articles in English, joining a team focused on microbiome and metabolic

Qualifications

• PhD in computer science, bioinformatics, or chemoinformatics.
• Experience with AI/ML workflows for metabolomics.
• Experience analyzing LC-MS metabolomics data.
• Strong written and spoken English.
• Interest in multidisciplinary, international collaboration.

Responsibilities

• Develop and implement AI/chemoinformatics workflows for high-throughput metabolomics data.
• Handle LC-MS data processing and statistical analysis; provide biological insights.
• Lead AI-based strategies for MS annotation with standards databases; perform pathway analysis.

Skills

AI/ML experience

LC-MS data analysis

Bioinformatics/chemoinformatics

English proficiency

international teamwork

Education

PhD in computer science, bioinformatics, chemoinformatics or related field

Tools

Spectral annotation tools

Chemoinformatics libraries

Job description

CNRS, METAB-OMICS Unit in Lille, France, invites applications for a Postdoctoral researcher to develop AI- and chemoinformatic workflows for high-throughput LC-MS metabolomics data. The role includes data processing, AI-driven annotation, and advanced analytics, with collaboration across international partners.

The successful candidate will design and benchmark workflows, interpret results, and contribute to scientific articles in English, joining a team focused on microbiome and metabolic