Careers
Are you looking for a place where continuous learning is valued, where you can work from almost anywhere, and your colleagues will become your friends? Then we might be it, and we'd like to hear from you!
Open positions
We are always looking for skilled people to join our growing team. If you can’t find a suitable open position, scroll down to the general application form, and we’ll get in touch.
If you receive a job offer from an unknown source, not a verified Pharmetheus address, through text, messaging app, email or even LinkedIn, then it’s likely a scam!
We will never contact you via unofficial channels, nor will we give direct offers without conducting a proper recruitment process. Always verify any offers through official company channels.
Population modeling experts
You are a skilled modeler with a Ph.D. in pharmacometrics, biostatistics, engineering or similar, and an advanced user in NONMEM and R. Previous experience from the pharmaceutical industry and/or regulatory agencies is highly valued.
PBPK and/or QSP modeling experts
You are a skilled modeler with a Ph.D. including application of physiological-based pharmacokinetics, quantitative systems pharmacology or similar. Experience with R, Matlab, Simbiology or the Open Systems Pharmacology Suite (PK-Sim & MOBI) would be highly valued. Strong communication skills or experience in multi-disciplinary teams are a plus.
Model Based Meta Analysis workflow
This project focuses on creating a comprehensive Model-Based Meta-Analysis (MBMA) workflow to streamline the benchmarking of new drugs, using modern GLP-1 agonist weight loss therapies as a case study. You will engage in the entire process from sourcing and digitizing literature data to performing modeling and simulations using R, NONMEM, and other Pharmetheus tools. Key research questions revolve around using AI tools for streamlined data capture and improved MBMA methodologies.
PK-Sim PBPK Platform Qualification
This project aims to develop and validate a portfolio of physiologically based pharmacokinetic (PBPK) models using PK-Sim to predict drug-drug interactions (DDI), with the objective to demonstrate PK-Sims capability as a robust, alternative, physiologically based pharmacokinetic (PBPK) platform for regulatory submissions. A successful outcome will help to de-risk and accelerate the development of new medicines for the pharmaceutical industry.
General application
Employee stories
“We don’t just produce and deliver – we care”
“Values are not just external slogans, they need to be lived”
“It’s a chance encounter that I stumbled upon pharmacometrics, and I was very lucky”
