Lead Data Scientist
The Position
The Lead Data Scientist within the Imaging Analytics department will contribute to the research team's efforts towards exploring and creating new technologies and being a world leader in data science within our fields. In this position you will drive strategies that build internal capabilities for delivering novel therapeutics to patients and improve image-based biomarkers & analysis workflows that support short- and long-term growth of therapeutic areas at Novo Nordisk.
You will explore data requirements that aid in unravelling the cause of the disease and provide insights for novel drug targets focusing on medical imaging. Part of your role will be engagement with various stakeholders, from Medical & Science medical directors to AI and Analytics (AIA) data scientists, to scope and deliver proposed solutions will be a daily task and so will be understanding and adopting of regulatory requirements for deploying AI/ML/SaMD (Software as a Medical Device) solutions as clinical trial endpoints.
Some of your responsibilities will be to:
- Optimize imaging modalities and biomarker review & proposition for trials targets and endpoints for AIA and clinical stakeholders
- Propose, scope, and define impactful AIA/IA projects while connecting imaging physics/physiology/analytics/AI to our objectives and must-win battles
- Work with Therapy Area study directors & scientific advisors to understand and prioritize problem statement
- Provide multi-omics and cross-departmental strategic support
- Stay abreast of evolving AI landscape & technologies
- Define requirements and execution of collaborative programming pipeline development
This is a hybrid position with 2-3 days a week in our brand-new office in London.
Qualifications
In this role it is necessary to have either a PhD degree with strong professional experience or a master’s degree with a well-established expertise. Degree within computer science, mathematics, radiology, (medical-) engineering, (imaging-/medical-) physics, statistics, or a related quantitative discipline is preferred.
Furthermore, you have/are:
- Experience in cross-disciplinary development with multi-modal medical imaging (MRI, CT, Ultrasound, PET etc.), advanced analytics/computer vision/AI and imaging biomarkers for translational and clinical applications
- Innovative problem-solving that connects business/development needs to address medical research, drug discovery & clinical trials
- Subject matter expert in integrating imaging physics, physiology, and AI model development in several therapy areas (Obesity, Diabetes, CVD, MASH etc.)
- Strong communication skill and experience with interacting between clinical, engineering & business teams
- Comfortable navigating uncertainty with a track record for providing both practical and innovative solutions to address unstructured medical/research questions
Ideally, you have hands-on experience with deep learning for computer vision using deep/machine learning frameworks like TensorFlow, PyTorch, Sklearn, etc., and solid understanding of deep learning theory: CNN, Transformers, RNN, GANs etc. and its various applications like classification, object detection, segmentation.
Experience in defining, developing, and validating computer vision algorithms against clinical data, ensuring appropriateness of fit for data science processes is highly preferred.
About the Department
The Imaging Analytics department within AI and Analytics department 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.
Contact
For applicants only: If you would like more information about the position, please reach out to Majd Zreik, Director AI & Imaging Analytics at mxjz@novonordisk.com .
Deadline
Please apply before 10th February 2024.
Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.
You do not need to attach a cover letter to your application, but please include a few lines about your motivation in your resume or CV. Please assist us in maintaining a fair and inclusive selection process by not attaching a photo to your application.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
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.