Research engineer- A developer with backend and database skills - Hiring in process/Finished, not possible to apply

Do you want to contribute to top quality medical research?

Do you want to contribute to cutting edge AI algorithms for medical images?

Are you intrigued by artificial intelligence (AI) and what it will accomplish for medical imaging? Do you want to be part of that development and further develop our database and infrastructure containing millions of medical images and other data?

We are a multidisciplinary research team working at the cutting edge of AI development and validation in breast cancer imaging. Members of our team are regularly invited to world-leading conferences to present our latest findings. We are involved in the EU project EUCAIM which aims to create a federated pan-European infrastructure for cancer images.

Our research focus is on training, validating, and thoroughly analyzing the performance of AI models. We have radiologists annotating anatomical structures in thousands of images. We have data linked from national registers. We are performing both retrospective studies, using existing data, and in prospective studies, examining what happens in the real world when using AI for women attending screening or diagnosed with breast cancer. Our stack uses both local and S3 storage-as well as cloud solutions. We have access to powerful GPUs in the KI network. No development and no exploration can happen without a cutting edge back-end with a database storing all data.

Your mission

As a backend & data engineer, you will develop the interface to the database and refine its current functionality of the database itself. You will help our team's researchers to extract the correct data and create valuable datasets. In addition, you will be our main representative in the EU project EUCAIM which is a collaboration between over 60 European institutions.
You will contribute to creating the first European-wide infrastructure for cancer images.

Your profile

We are looking for candidates with experience managing NoSQL databases (we use MongoDB), crafting APIs, analyzing and constructing datasets, and implementing data analysis techniques, preferably in python. It is a plus if you have experience in setting up cloud infrastructure especially for federated training and validation of ML algorithms, dealing with containerization, and implementing CI/CD workflows. Candidates with experience building and deploying software products. Showcasing previous work is encouraged.

We expect candidates to have excellent communication skills both in written and spoken forms. Our working language is English, but knowing Swedish is a plus given that we must deal with national hospitals and stakeholders.

If you want to contribute to creating cutting edge AI algorithms for breast cancer based on massive amounts of data and be in charge of the infrastructure to make it possible, we will be delighted to receive your application!

More about us

Our research group is diverse, with devoted and creative professionals from different countries. We are pushing the boundaries of transparency and fairness in AI for healthcare. Our group has expertise in radiology, biostatistics, and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international collaborations include University of California San Francisco and Berkeley.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna

Application

Welcome to apply at the latest 21^th July. 

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

1 year with possibility to apply for future permanent position.

Want to make a difference? Join us and contribute to better health for all