PRMSE is seeking to hire a

ML Medical Imaging AI Engineer

Remote. Full-time.

PRMSE – we are on a mission!

Radiologists worldwide are under large pressure. Overburdened. Burn-out. Well-documented in the scientific literature. The 350,000 radiologists globally are calling for help!

PRMSE addresses its workload pressure by developing productivity improvements. And drastic ones at that.

Knowing that up to 50% of all cases read turn out to be negative, yet the radiologist has to read each of them to come to that conclusion, AI can and needs to help. We are building the triaging systems that identify and set aside the Normal cases. This allows the radiologists to completely focus on the positive cases, where their expertise matters most. 

We have a Proof of Concept, initial funding, a management team, a team of engineers, and clinical and scientific advisors both in the US and Europe.

We are on a mission. Are you the right person to join us?

What you’ll do

Work with other Machine Learning Engineers to develop and maintain algorithms for Rule-Out solutions, initially on Computed Tomography images. 

Research the literature and help establish the State-of-the-Art in our field

Implement and modify deep learning and computer vision algorithms based on product requirements. 

Collaborate with backend/cloud engineers to bring ML models into production on GCP/AWS. 

Design, implement, and test complex data pipelines to support training and validation of algorithms. 

Create technical documentation.

What you bring – Non-negotiables

3 - 5 years of recent experience in EEG / PET / CT or MRI Machine Learning Medical Image Processing

Good Python development skills, and scientific Python stack, i.e. Numpy and Scipy, 

1 - 3 years of experience with deep learning coding for computer vision, 

Hands-on experience with machine learning frameworks, like PyTorch, and a  

MSc or PhD in medical AI.

Great to have: Experience with and Knowledge of

Building deep learning products and deploying them

Docker

DICOM protocol 

SimpleITK and 

Experience with public cloud, i.e., GCP and AWS.

Next Steps

Send an email to pieter.vanderpoel@prmse-screening. Please outline why you are the best possible fit, what you bring, and when you could start.