Lead Data Scientist

The Lead Data Scientist will contribute to the research team's effort towards exploring and creating new technology and being a world leader in data science within our fields. In this position you will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context. 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.

Your tasks will include but are not limited to the following:

• Research and develop algorithms based various computer vision approaches in the medical image analysis space.
• Recognize, define, and address unmet clinical needs using data and with close collaboration with the medical and science teams.
• Implement and maintain local and cloud-based data and computational environments and platforms to enable the work. Perform data pipelines (data acquisition, 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.

This is a hybrid position with 2-3 days a week in the office in London.

Qualifications

In this role, it is necessary to have either a master’s degree with well-established expertise or PhD degree with strong professional experience. Degree within computer science, mathematics, (medical-)engineering, physics, statistics, or a related quantitative discipline is preferred.

Furthermore, you have:

• Hands-on experience with deep learning for computer vision using deep/machine learning frameworks like TensorFlow, PyTorch, Sklearn, etc.
• 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.)
• Solid understanding of deep learning theory: CNN, Transformers, RNN, GANs etc. and its various applications like classification, object detection, segmentation.
• The ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes
• The ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.

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, 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.

About the Department
The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk 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.

We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work.  We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.

Working at Novo Nordisk  

At Novo Nordisk, we don’t wait for change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.