At Pacmed we develop world leading AI-based decision support software for intensive care doctors. It’s a hugely exciting area where we’re breaking boundaries every day. We’re looking for a data scientist who’s excited to work with hospitals on implementing our product. We have currently implemented our software in our first ICUs and have the ambitions to scale across the Netherlands and beyond.
As Data Scientist in the Implementation & Care team, you work closely with the hospitals to implement our software. The team as a whole is on a mission to reduce the time it takes to implement our product significantly by the end of 2024, and as you are working with our clients directly, your work is an integral part of reaching that goal.
Next to Brian (Implementation Manager) and Ewoud (Adoption Specialist), we have another Data Scientist on the team: Mattia, who broadened his skillset to include the engineering capabilities needed for implementations. In this role, we hope you are excited about going through a similar learning curve!
One thing you can be sure of, every day you’ll be working with enthusiastic and mission-driven people who are passionate about using technology to revolutionize healthcare!
Work with our customers to ensure the timely, within budget and at quality standards integration of Pacmed Critical in the hospital ICT infrastructure. You need to be excited about working with customers directly!
Proactively supporting hospital partners throughout the implementation process, and contributing to meeting the overall project planning.
Setting up the Azure environment for hospitals, safe network connections, real-time data connection, and single sign-on.
Embedding and integration of Pacmed Critical in the front-end of the hospitals EPD/PDMS.
Critically assess areas of improvement/automatization of the current development process, suggest ways to improve it and coordinate with the other relevant teams in Pacmed for their implementation.
Contributing to the training of the machine-learning (ML) models behind Pacmed Critical, their testing and deployment to the hospital IT environment.
Responsible for the technical aspects of the customer support provided to hospitals in which Pacmed Critical has already been implemented.
We're a dynamic startup committed to improving healthcare globally.
We’re committed to creating an inclusive environment for our team.
We’re a talented bunch of people 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
There is no need to apply if you don’t meet these requirements, sorry!
Fluency in Dutch
Communication, presentation and consultancy skills. This is a client-facing role, so you need to be excited about that!
Desire to become proficient in the production deployment of ML models. The candidate is expected to quickly gain expertise in the technologies currently in use at Pacmed, e.g. data warehousing, ML DevOps, containerisation, automatized integration and deployments (CI/CD) and Cloud infrastructures.
Experience in data science, data wrangling, machine learning and data visualization. Ability to set up a supervised learning ML model and interpret its results.
We hope you bring these things as well, but don’t worry if you don’t tick all the boxes.
Previous experience in a client-facing role.
Proficiency with Python and common data-science packages (e.g. scikit-learn, pandas, etc.).
Experience with IT integrations, networking and deployments.
Experience in process optimization.
Collaborative & team player.
These are things that would make your profile jump out!
Previous experience in data engineering (see third bullet point in the “Must-have” section).
Previous experience with version control software.
Previous experience in software development.
Medical knowledge or previous work experience in the medical field.
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.
We’re looking forward to meeting you!