Ecological Modeller / Computational Biologist | Ecological Modeller / Computational Biologist (m/f/d)

RIFCON GmbH

Hirschberg an der Bergstraße, Baden-Württemberg, Deutschland
Published Mar 9, 2026
Full-time
No information

Job Summary

This full-time position at RIFCON GmbH involves applying and developing ecological simulation and dynamic models to support environmental risk assessments for chemical exposure. As a member of the Ecological Modelling and Statistics team, you will be responsible for the design, implementation, and documentation of ecotoxicological models, as well as the analysis and scientific reporting of results. The role balances technical model development with project management, requiring you to oversee small-to-medium-sized projects independently. This position is particularly attractive for scientists looking to bridge the gap between quantitative ecology and regulatory industry standards. RIFCON offers a highly flexible work environment with home office options, a dedicated international team, and a comprehensive benefits package including health insurance, meal allowances, and childcare support, all while working at the forefront of plant protection product registration.

Required Skills

Education

University degree in Natural Sciences (e.g., Quantitative Ecology, Applied System Science, Biology, Geoecology, or a similar discipline)

Experience

  • Professional experience in developing, documenting, and evaluating dynamic models
  • Experience in applying mechanistic effect models within environmental risk assessment contexts
  • Proven track record in reviewing and assessing scientific data from studies and literature for modelling
  • Experience in advanced statistical or computational approaches for ecological data analysis
  • Demonstrated project management skills and ability to handle multiple projects simultaneously

Languages

English (Fluent)

Additional

  • The role is based in Hirschberg (near Heidelberg), Germany, but offers home office and mobile work opportunities. Applicants should be self-motivated and capable of working in an international team environment.