Senior 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 Senior 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 Engineering & 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, bring new techniques and ideas into the team, and help others grow along the way.

• 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!

• Own the development and deployment of machine learning models trained on large-scale medical data end-to-end, improving their predictive performance, calibration, and robustness.
• Lead our 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.
• Drive 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.
• Scope and drive medium- and long-term modelling projects, working with team leads and product managers to plan work and resources.
• Dive into heterogeneous healthcare datasets to improve data quality and model reliability, while building scalable, generic solutions applicable across hospitals.
• Set the bar for methodological and code quality: writing professional, maintainable, well-tested code following best practices for medical applications, and reviewing and mentoring colleagues to do the same.
• Drive 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.

• At least 5 years of professional experience developing, deploying, and maintaining machine learning models in production.
• A Master's degree (or equivalent demonstrated experience) in Data Science, Computer Science, Statistics, or a similar field.
• Strong proficiency in Python, including commonly used libraries (e.g., scikit-learn, pandas/polars, numpy), and strong statistical foundations.
• Deep, demonstrated experience across the entire machine learning lifecycle: from data exploration and preprocessing to model experimentation, development, validation, deployment, and monitoring in production.
• Energy, curiosity, a product mindset and a learner's mindset; a good team player.
• Fluency in written and spoken English.
• Eligible to work in the Netherlands (EU). Unfortunately we are not able to sponsor visas at the moment.

At Pacmed, we think there is strength in diversity. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Pacmed encourages you to reconsider and apply! Building…