Data Scientist

Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client we are looking for Senior Data Scientist – Medical Image Analysis - remote work 🔹

✔️The Position

This position focuses on exploring new insights and developing innovative technologies in the field of medical image analysis. Key responsibilities include the collection, curation, and processing of medical image data, as well as applying software engineering principles within the context of medical imaging and computer vision. You will also collaborate with team members, as well as clinical scientists from other disciplines to design, code, train, test, deploy, and iterate on machine learning systems.

✔️Main responsibilities include:

• Research, develop and implement medical image processing pipelines utilizing state of the art computer-vision-based approaches in the medical image analysis space.

• Implement and maintain local and cloud-based data and computational environments and platforms to enable the work.

• Build data pipelines (data curation, preparation, cleaning, and consolidation) as an integral part of data science activity.

• Utilize AI/ML (Artificial Intelligence/Machine Learning) to develop complex methodologies and analyses, all around various medical imaging modalities.

• Perform informed semi-automated quality assessments of the acquired imaging data and of the derived measures.

• Align with clinical experts on the requirements, constraints and deliverables of a project.

✔️Qualifications:

In this role, it is necessary to have either a PhD degree with 3+ years’ relevant direct non-academic professional experience or PhD degree with a strong post-doc experience in the field of medical image analysis. Degree within computer science, mathematics, (medical-)engineering, physics, statistics, or a related quantitative discipline is preferred.

✔️Furthermore, you must have:

• Hands-on experience with deep learning for computer vision using deep/machine learning frameworks, mainly PyTorch, Sklearn, and with conventional image processing techniques.

• Strong practical knowledge in medical image analysis in multiple medical imaging modalities (X-ray, US, MRI, CT, Digital Pathology) across different therapies (cardiology, obesity, diabetes etc.) with a proven high impact academic publication record

• Solid understanding of deep learning theory: CNNs, Transformers, RNN, GenAI, etc., and its various applications in semantic segmentation, classification, object detection and more.

• The ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes

• The ability to do quick prototyping/proofs of concept up to production ready models following best practices.

• The ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.

• Appetite for research work

Ideally, you have hands on knowledge in imaging biomarkers in pharmaceutical industry, healthcare industry, medical device development or in another regulated field.

Experience with modern software development toolset (CI/CD, AWS, Azure Machine Learning, git, JIRA) which includes writing high quality code processing vision/imaging data using Python is highly preferred and so are excellent written and oral communication skills.

✔️Department Overview

The Imaging Analytics department part of AI and Analytics Department within Data Science division, where we apply state of the art algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions, focusing on medical imaging in the clinical trials space. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower us to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology.  

✔️Join the team

The organisation values flexibility in ways of working to support various life situations. Employees are recognised for their unique qualities and skills, and the environment fosters development and collaboration. The broader mission includes improving the lives of millions of patients globally through innovation and dedication to chronic disease care.

There is a commitment to becoming not just the best company in the world, but the best company for the world. This vision can only be achieved through the contributions of talented employees with diverse backgrounds and perspectives. An inclusive culture is fostered that celebrates diversity across employees, patients, and communities.

✔️ We offer:

• B2B agreement

• Transparent working conditions with both Ework and the client

• Current support during our cooperation

• Possibility to work in an international environment

• Collaborative environment in Swedish organizational culture

• Private medical care

• Life insurance

• Multisport

• Teambuilding events