Research Assistant in Advanced Image Processing

Do you want to contribute to top quality medical research?

Our research group develops, validates and applies advanced imaging techniques within a fast-paced clinical environment. We work to gain actionable quantitative imaging biomarkers and deeper pathophysiological insights with a special focus on neuroinflammatory and neurodegenerative disorders. Our research areas include ALS, MS, movement disorders, dementia and Covid-19. We have immediate access to the latest imaging technologies, including the next-generation clinical 7 Tesla MRI Terra.X scanner and the first clinically approved photon-counting CT Naeotom Alpha. We also have extensive international collaborations and focus on supporting impactful large-scale projects. As a research assistant, you will be an integral part of our team that are constantly pushing the boundaries using the newest medical imaging technology.

Your mission

Your primary role in the team will be to optimize and support post-processing pipelines for advanced quantitative MRI and photon-counting CT data. This includes coordinating data storage, pseudonymization streams and advanced image analysis techniques together with clinical colleagues.

You will be responsible for developing automated post-processing analysis tools for radiological research studies on our custom multi-user dockerized computing server. Your work should be structured and well-documented, providing the grounds and contributions for high-quality scientific publications.

Moreover, our current workflow allows for some of the work to be done remotely. Additionally, there are opportunities for growth and advancement within the research group. You will be based in Huddinge but will also work in Solna if needed. 

Your contributions will help advance the field of imaging and improve patient outcomes. Please join us in making a meaningful impact on medical research.

Your profile

Requirements:

• Bachelor’s degree in Medical Technology, Computer Science, Informatics, Engineering, Physics, Mathematics or a related field.
• Experience of working closely with research/clinical/industry personnel in automating image processing and analysis pipelines; with special consideration for: FreeSurfer, QSM, MAT-LAB
• Documented experience in conducting biomedical imaging research at high-level institution(s), ideally through peer-reviewed abstracts/publications.
• Experience in management of large imaging datasets; special consideration will be given to MRI processing of the brain, spinal cord, lungs or vasculature.
• Excellent programming skills in languages/tools such as: Python, MATLAB, Bash, Linux CLI, Git, C++ and machine learning algorithms.
• Practical experience working with virtualization and containerized environments such as Docker or Kubernetes with optimization in big data analyses.
• Familiarity with fundamental software development principles: Documentation, version control, continuous integration and testing.
• Strong analytical and problem-solving skills.
• Ability to collaborate with medical professionals and researchers to develop solutions that meet their needs.
• Practical experience with working in collaborative international multi-center studies.
• Fluent in written and spoken English.

Qualifications/Merits:

• Master’s degree in Engineering, Medical Technology, Machine Learning, Computer Science, Informatics, Physics, Mathematics or a related field.
• Expertise in implementing machine/deep learning algorithms for image segmentation/classification and rendering of volumetric 3D and 4D dicom image data.
• Experience working with DICOM servers (such as ORTHANC) and web-based PACS solutions (such as OHIF viewer).
• Documented experience in scientific writing.

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: Flemingsberg

Read more about the Department of Clinical Neuroscience
Read more about the research group you will be part of

Application

Welcome to apply at the latest 11 December 2024.

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. 

Permanent position is initiated by a six months trial period.

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