Industrial Genomics: Metabolic Network Modelling Intern

Lesaffre

Marcq-en-Barœul

On-site

EUR 10,000 - 17,000

Full time

5 days ago
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Job summary

Lesaffre in Marcq-en-Barœul, France, invites a final-year master or engineering student to join the BioData Department for a 6-month internship starting between January and March 2027. The role focuses on biological data engineering, pipeline development, and collaboration with BioInfo and BioAI teams.

You will implement and improve automated workflows for genome data analysis, contribute to Nextflow pipelines, and gain experience with Docker, Git/Gitlab, and reproducible research in a

Qualifications

  • Final year master's or engineering student in Bioinformatics, Computational Biology, Systems Biology or related field.
  • Strong programming skills in Python and familiarity with pipeline tools.
  • Exposure to version control (Git/Gitlab) and reproducible research (Docker, Anaconda).
  • Solid knowledge of genomics, biochemistry, and microbial metabolism.
  • Knowledge of constraint-based reconstruction and analysis (COBRA) methods.
  • Analytical mindset, rigor, autonomy, and strong communication skills.
  • Fluency in English.

Responsibilities

  • Implement and improve automated high-throughput metabolic network reconstruction and analysis.
  • Further develop and diversify existing microorganism genomic annotation workflows.
  • Apply the developed methods by formalizing reproducible and efficient pipelines for large-scale application.

Skills

Python
Nextflow
Git/Gitlab
Docker
Anaconda
Genomics
Biochemistry
Microbial metabolism
COBRA methods
Communication
English fluency

Education

Master's or engineering student (Bioinformatics / Computational Biology)

Tools

Nextflow
Git/Gitlab
Docker
Anaconda

Job description

Lesaffre in Marcq-en-Barœul, France, invites a final-year master or engineering student to join the BioData Department for a 6-month internship starting between January and March 2027. The role focuses on biological data engineering, pipeline development, and collaboration with BioInfo and BioAI teams.

You will implement and improve automated workflows for genome data analysis, contribute to Nextflow pipelines, and gain experience with Docker, Git/Gitlab, and reproducible research in a

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