At Radiobotics we are looking for a key member of our development team, a data engineer to be part of developing and innovative ML/DL-based products. You will lead the data infrastructure and data pipelines for development of state-of-the-art DL/ML driven software as a medical device.

Who we are

We are on a mission to transform radiology by designing ML/DL based products that augment the workflow of radiologists, improving the quality of the diagnosis and reducing waiting time. We are developing algorithms for automatic analysis and description of routine medical x-ray images at hospitals, within musculoskeletal radiology. We have a beautiful office in central Copenhagen where we like to work, go for a swim in the harbor in the summer before/after work and enjoy each others’ company.

Who you are

You probably have a background in computer science, software engineering or a similar topic, though your technical skills together with your ability to learn very fast, work independently and collaboratively are what really matters.

Since we are a small team, a new member will have to fit well into our group and our informal mentality. You should be open to work on a wide range of tasks from our offices in Copenhagen.

Your main responsibility in Radiobotics will be to lead our data engineering efforts, being part of improving our existing ML/DL processes, and supporting development of algorithms for Radiobotics' innovative products.

Being a small company we all wear many hats and we also expect you to bring your experience building software to improve and bring a fresh perspective to our products’ software.

What we expect from you

• You have minimum 3+ years industry experience from a data engineer or similar role

• You have excellent experience in Python and good general experience in software development

• You have experience working with technologies like Apache Airflow, Luigi, NiFi or equivalent

• You are fluent in databases and query languages such as SQL

• You have experience working with data and data pipelines in the cloud and is able to assess data quality and metrics

• You are skilled in explaining and presenting analyses and concepts to a broad technical audience writing good code and implementing patterns where they apply

• You have ownership and responsibility of the parts of the project you implement/lead

• You’re positive and driven, and a fast learner

Nice to have:

• Knowledge of Machine Learning and Deep Learning algorithm development

• Some knowledge of ISO 27001 and data regulations

Data that you will work with:

• Medical images from thousands of patients

• Medical reports/records (text data)

• Annotations for development of AI/DL/ML models (objects like bounding boxes, lines, polygons etc.)