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About the Role

As a Data Scientist, you will sit right at the point where our models meet clinical practice. You will focus on connecting our models and the underlying data to the people who use them: working with clinicians to understand their workflows and needs, developing and training models, shaping how predictions are presented in the product, and demonstrating clinical impact through retrospective and impact analyses. We're looking for someone with a genuine product mindset, who builds trust with medical experts, takes ownership, and is motivated to keep learning and make our products more usable, interpretable, and valuable in the clinic.

Responsibilities

Train machine learning models and shape how their outputs are presented in the product in collaboration with frontend, UX, product, and users.
Design and execute impact and retrospective analyses that demonstrate and improve the clinical value of our products.
Work in a structured way with internal and external medical experts, translating clinical needs into product and modeling decisions, and model behavior into clinical language.
Be the go-to person for the interpretation of clinical data, and help prioritize data science efforts from a clinical point of view.
Contribute to the data science aspects of product discovery, by carrying out your own experiments or supervising interns.
Contribute to tailoring and validating our pipelines and models in new hospital environments.
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.

Requirements

A minimum of 2 years of professional experience working in a clinical environment or with clinical data.
Solid data science and machine learning fundamentals in Python (e.g., pandas, scikit-learn).
Strong communication skills with non-technical stakeholders, a genuine product mindset, and curiosity about clinical users and products.
Professional working proficiency in Dutch, and fluency in written and spoken English.
Eligible to work in the Netherlands (EU).
Do not require a take-home coding challenge.

Skills

Python
Pandas
Scikit-learn
Product mindset
Communication skills
Clinical data interpretation
AI tooling
Validation and verification
Machine learning
Data science fundamentals
Interpretability
Explainability
FastAPI
SQL
VueJS
Docker
Polars
(Py)Spark
Scikit-survival
LightGBM

Location

Netherlands
Amsterdam

Work Type

Hybrid
Full-time

Experience Level

Minimum 2 years of professional experience

Benefits

Stock Appreciation Rights (SAR) program
Development Day once a month (5% of work time for personal development)
Regular social events, with quarterly outings and yearly off-site
Sponsored contribution of an equivalent of 6% of your salary to a private pension fund
Extra paid additional birth leave and maternity leave
Flexible working arrangements in working hours and working from abroad
25 paid holidays per year
Option to buy 5 extra holidays
Possibility to take a 3-months sabbatical once employed with a permanent contract
Lunch provided daily at the office
ClassPass and OpenUp subscription
Option to customize public holidays
Company laptop, phone allowance and home office equipment provided

About the Company

Pacmed combines 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.
Our software helps healthcare professionals make better real-time decisions, use capacity more efficiently, and ensure smooth patient flows.
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.
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!

Equal Opportunity

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 responsible AI requires diverse perspectives, equitable practices, and integrity every step of the way. This is our commitment.