kandidatu France

Spatial data analyst, biodiversity and hedgerows

Muséum National d'Histoire Naturelle (MNHN) · State civil service

En français : Analyste de données spatiales biodiversité et haies

This job in plain words

This job is at the Muséum national d'histoire naturelle, at the Jardin des Plantes, in the Data team of PatriNat. The person analyses spatial data on biodiversity and hedgerows to feed the hedgerow observatory and the INPN.

Open to non-civil servants

Can you apply?

Civil servants (titulaires) and contract staff can apply. The job is in category A.

Category
Category A (executive)
Diploma
Master's degree (bac+5) · PhD or Bac+5 degree (engineering school or Master 2)
Experience
Practical experience in biodiversity data analysis; experience with hedgerows is a plus.
Contract
Civil servants (titulaires) and contract staff; fixed-term contract of 12 months, renewable, from March or April 2026.

The profile they want:

  • PhD or Bac+5 degree, with practical experience in biodiversity data analysis.
  • Able to write analysis scripts in R on your own.
  • Good GIS skills, with R or Python.
  • Good level in statistics and data analysis.
  • Knowledge of PostgreSQL and SQL recommended.
  • Good at summarising, rigorous, and able to work in a team.

What you would do

  • Carry out spatial data analyses and cross-checks on hedgerows.
  • Produce maps, summaries, key figures and indicators.
  • Write summary notes and reports.
  • Help write scientific articles.
  • Lead some analysis projects and work on other projects of the team.

How to apply

Apply on the MNHN recruitment platform. Only applications submitted on this platform will be reviewed.

Good to know:

  • Remote work possible up to two days a week, depending on the work cycle.
  • Working time of 35h35 per week and 44 days of annual leave.
  • 75% of public transport costs refunded, or a sustainable mobility allowance.

We wrote this summary automatically from the official offer. Only the offer published on Choisir le Service Public counts: read it before you apply. Source: Choisir le Service Public (DGAFP), Etalab 2.0 licence.

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