Data Scientist (ML & Statistical Modelling)

Do you want to help shape tomorrow’s healthcare with AI? At Pacmed, we combine technology and humanity to keep healthcare accessible and future-proof. We are a growing AI company with solutions already running in multiple hospitals, and we are actively scaling further across the Netherlands.

With our software, we help healthcare professionals make better real-time decisions, use capacity more efficiently, and ensure smooth patient flows, from the emergency department and ICU to the clinic. Our mission is to help hospitals accelerate their care transformation and digitalization goals, so that every patient receives the right care at the right time.

Does this sound exciting? Then we have the perfect role for you! We are looking for a Data Scientist, focussed on machine learning and statistical modelling, who will strengthen our core model-development capacity: making our models better, improving their performance and reliability, and building new ones.

As a Data Scientist, you will sit (or stand, if you prefer) right at the heart of our modelling process. You will report to our Head of Data Science, and work closely with a group of talented and driven developers, engineers, data scientists, designers and clinical experts in the Product Engineering team. Your focus will be on the full machine learning lifecycle: improving existing models and building new ones, diving deep into heterogeneous clinical datasets, and delivering production-quality ML. As we move toward capacity management, this increasingly includes statistical modelling beyond single-patient prediction: combining multiple prediction models into unit- and hospital-level capacity insights. We're looking for someone with energy, curiosity, and a product mindset, who takes ownership and is motivated to keep learning and bring new techniques and ideas into the team.

Why Pacmed is a great place to work

• We're a dynamic startup committed to improving healthcare in the Netherlands.

• We're committed to creating an inclusive environment for our team.

• We're a talented bunch dedicated to helping each other grow.

• We foster a culture of kindness and respect.

• We're a team of ambitious and fun-loving people, with regular team events!

What would be expected of you

• Develop and deploy machine learning models trained on large-scale medical data, improving their predictive performance, calibration, and robustness.

• Contribute to statistical modelling for capacity management: combining and extending our prediction models (e.g., admission inflow, discharge, survival models) into unit- and hospital-level insights, with attention to uncertainty, calibration, and simulation of patient flow.

• Be involved in all stages of the ML process for new products: from problem definition and algorithmic approach through analysis, pipelining, experimentation, interpretation, certification, and implementation, all the way to post-market monitoring and reporting.

• Dive into heterogeneous healthcare datasets to improve data quality and model reliability, while building scalable, generic solutions applicable across hospitals.

• Write professional, maintainable, well-tested code following best practices for medical applications.

• Contribute to R&D and bring new techniques and ideas into the team.

• Use AI tooling wisely and responsibly to assist you in your work.

• Participate in validation and verification activities, according to the latest medical and information security regulations.

• Be present in the office a couple of days per week. We are flexible, and at the same time we love seeing each other regularly and working together in person.