Healthplus.ai is equipping clinicians to get to zero complications, maximum recovery for their patients. To help physicians and nurses involved in surgery care in the hospital get the most out of our predictive  AI-system, we are hiring a full-time data scientist .

About us

Healthplus.ai is a 15-person start-up based in Amsterdam, the Netherlands. We are all driven to improve surgery care for both patients and professionals. Our team members are ambitious, proactive, transparent and eager to learn.

Our first software as a medical device, PERISCOPE®, has been CE-certified and we are now onboarding the first customers across the Netherlands, Belgium and further abroad. With PERISCOPE®’s reliable infection risk scores, action can be taken to discharge patients more safely, treat infections earlier, greatly improving patient outcomes and reducing their length of stay at the hospital. Our ambitions are global and we have partners across Europe and the US. 

We also work closely with major hospital software vendors, like Chipsoft, Oracle, and Microsoft, to provide reliable and easy ways to offer and maintain PERISCOPE to the physician- and nurse-end-users in the hospitals.

Job introduction

As our new data scientist you will work closely with fellow data scientists, the product owner, head of clinical affairs and implementation team. You will collaborate with our clinical partners on new product features by exploring data, performing feature extraction and working towards machine learning models to predict new patient outcomes. It will be your  mission to couple innovative methods with user needs formalized by the product owner. Projects we aim to work on in the near future include for example:

• Predicting new patient outcomes
• Expanding current product functionalities and explainability
• Developing a federated learning architecture for model improvement

R&D activities include;

• Exploring literature with regard to machine learning methods and applications
• Performing Exploratory Data Analysis (EDAs) and feature extraction
• Setting up and maintaining partnerships with clinical and AI institutions for R&D and validation activities
• Implementing machine learning methods like (e.g., RNNs, LLMs) and improving model explainability

Besides working on these R&D projects,  you will support the implementation of our software in new hospitals. You will explain our data requirements to clients and report on data quality and model performance for our current product. 

The implementation activities include; 

• Local model updating  to ensure local performance
• Reporting on data quality, model performance and clinical impact during and after implementation
• Model and data monitoring during clinical use

What we’re looking for

We’re seeking an energetic and ambitious person with a background in computer science, mathematics, technical medicine or similar. You have extensive experience with data analysis and statistics in Python. To thrive in this role, you also bring;

• 5 years of experience with programming in Python and related libraries such as pandas/polars, numpy, pytorch, etc.
• 3 years of experience performing machine learning experiments
• 3 years of experience with data visualization techniques
• Experience with developing machine learning models and applying state-of-the-art model validation techniques
• Experience with and knowledge of medical data structures
• Preferred: Experience in conducting research at or with (academic) hospitals

What we offer

• A dynamic working environment in a small team with a horizontal management structure where everyone’s input is very much valued
• The chance to grow alongside a scaling team and company
• The opportunity to work in a rapidly growing field and make a real impact in healthcare by solving complex problems using machine learning and data analysis
• Work for and together with leading hospital clients and partners around the world
• Informal working environment and flexible hours
• A competitive salary ranging from €4,500 to €5,500 gross per month (excluding holiday allowance), depending on experience, plus we have put aside a share in the company for our staff

The application process consists of two interview rounds, a small test or presentation, and a reference check.To apply for this role, please send a brief letter of motivation with your CV to jobs@healthplus.ai . 

If you’ve already applied to this role, no need to reapply—we’ve got your application and will get back to you as soon as possible