PhD Monitor
/Detail
Bioinformatics and Metabolomics● OpenResearch staffPreview

Bioinformatician for Automated NMR Spectral Annotation

Develop automated tools to streamline NMR spectral database annotation for metabolomics research in Toulouse, France.

Best for:Best for bioinformaticians or computational biologists with Python/R programming experience, database management skills, and a passion for analytical chemistry and bioinformatics.

INRAE · Toulouse, France · R2 · Recognised researcher
More professors at INRAE
NMR spectral annotationMetabolomics database managementAutomated bioinformatics toolsHigh-throughput metabolomics data processingComputational chemistry
This is a research staff position — not a PhD studentship.
Deadline
—
Funding
Salaried
€2.8k–€3.5k/mo
Start date
2027-01-01
Temporary
Location
Toulouse
France

Overview

This position at INRAE’s TOXALIM unit in Toulouse focuses on advancing automated bioinformatics tools for metabolomics research. The successful candidate will work within the METABOHUB infrastructure, a leading national facility for metabolomics and fluxomics, to develop software for extracting acquisition parameters and peak lists from NMR spectra. The role involves creating algorithms for automatic annotation of complex NMR spectra, training users, and writing technical documentation. The work will be conducted at the MTH-PFEM site in Theix, with a strong emphasis on computational and database management skills.

BioinformaticsNMR spectroscopyMetabolomicsAutomated annotationPython programmingDatabase managementR programmingBioinformatics tools

What you'll do

  • Develop an automated tool to populate the PeakForest database with NMR spectra of standard compounds, extracting acquisition parameters and peak lists from 1D and 2D NMR sequences.
  • Design and implement algorithms for automatic annotation of complex NMR spectra using reference compound spectra from the PeakForest database.
  • Train and support users in utilizing the developed tools, including writing developer and user guides.
  • Collaborate with researchers across biotechnologies, human health, nutrition, and plant sciences to integrate tools into metabolomics workflows.
  • Travel to the MTH-PFEM site in Theix for specific tasks related to the PeakForest database.

Requirements

Degree required: Master's degree or equivalent engineering degree in bioinformatics, computational biology, computer science, or a related field

Language: English; fluency required for professional communication

Instruction: French (work environment) and English (professional communication)

Required skills
  • Proficiency in programming with Python and R
  • Experience with database management systems
  • Familiarity with version control tools like GitLab or GitHub
  • Strong knowledge of analytical chemistry, particularly NMR spectroscopy
  • Basic understanding of metabolomics and bioinformatics workflows
  • Fluency in English
Nice to have
1+ years of professional experience as a junior to mid-level developerExperience with VIBE coding or similar bioinformatics frameworksPrior involvement in large-scale metabolomics projects
Eligibility
  • No specific nationality or residency restrictions mentioned
  • Open to junior candidates with mentorship opportunities

Funding & terms

Type
Salaried
Amount
€2.8k–€3.5k/mo
Duration
12 months
Programme
INRAE
INRAE

How to apply

Deadline: 2026-10-16

Applicants must send their CV and a motivation letter via email to Cecile Canlet and Nils Paulhe at the provided email addresses. Ensure your application includes a cover letter detailing your qualifications and interest in the position.

Documents required
  • CV
  • Motivation letter
✉Apply by email

Contact

Cécile Canlet· Supervisor

cecile.canlet@inrae.fr

CC
Prof.
Cécile Canlet
TOXALIM
Lab
METABOHUB (MTH) and MetaToul
INRAE
France
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Ready to apply?
Open this position on its website, or save it for later.