Internship PBK Modelling and -Throughput NGRA; m​/f​/d

Internship PBK Modelling and High-Throughput NGRA of Environmental Compounds

We are looking for a motivated scientist to join our modelling team. You'll contribute to an exciting project, developing and applying physiologically based pharmacokinetic (PBPK) models using a high-throughput framework to support next-generation risk assessment (NGRA) of environmental chemicals (e.g. pesticides, environmental contaminants, food contact materials etc).

The internship is suited to a master student or early-career scientist with a strong interest in computational toxicology and toxicokinetics, in vitro to in vivo extrapolation (IVIVE) and the use of new approach methodologies (NAMs) in chemical safety assessment.

A key requirement for this role is good working knowledge of the R programming language. You will work with an existing high-throughput modelling and data‑analysis pipeline developed in R, supporting its application to environmental compounds by organising input datasets, running pipeline components, checking outputs, generating summaries, and interpreting model results.

• Literature review and data extraction for environmental compounds
• Collection and curation of physicochemical and toxicokinetic/ADME data for PBK model parameterisation and evaluation
• Data cleaning, organisation, analysis, and visualisation in R
• Application of high-throughput PBK or toxicokinetic modelling workflows
• IVIVE calculations
• Preparation of technical summaries, figures, tables, and project documentation
• Contribution to internal scientific discussions and reporting

• MSc in toxicology, pharmacology, environmental science, computational biology, or a related field (recently completed or about to complete)
• Good R knowledge and programming skills
• Basic understanding of PBK modelling principles and toxicokinetics
• Familiarity with NGRA concepts, IVIVE, or high-throughput screening is a strong plus
• Detail‑oriented mindset and ability to work independently as well as in a team
• Prior experience with PBK/PBPK modelling, IVIVE, toxicokinetics, or NGRA is a plus but not essential. Familiarity with packages or tools for modelling, data analysis, and visualisation in R is most important.

We value flexible work hours and a home office policy that focuses on people and not on numbers. A working environment in which your contribution will make a difference, and that allows you to take ownership of projects and processes. Responsibility, autonomy, participation, and career perspective.