Innovative Healthcare Initiative (IHI) Postdoc – Machine Learning & Computer Vision in the Cardiovascular Disease Area
Are you a talented and highly motivated postdoc interested in AI with a focus on computer vision? Do you wish to join the Novo Nordisk-led Innovative Healthcare’s Initiative (IHI) project iCARE4CVD? If yes, then apply today for a life changing opportunity!
About the project:
The burden of cardiovascular disease (CVD) on society is significant, affecting over 85 million people in Europe. The overall prevalence continues to grow due to lifestyle and aging population. Despite the significant advancements in therapy, heart failure (HF) still presents a 5-year mortality rate of 20-50%. The iCARE4CVD project aims to address this burden by contributing to three essential steps to improve the current care pathways, across all stages from early risk to established HF: 1) early diagnosis to identify patients at risk of CVD and divide them into clinically meaningful subgroups; 2) risk stratification for these subgroups to define the urgency for intervention; and 3) identification of the optimal prediction of treatment response for each subgroup.
iCARE4CVD Consortium:
iCARE4CVD is an EU-wide consortium of leading partners in the field of CVD, that aims to deliver validated prediction models for enhanced diagnosis, risk stratification, and prediction of treatment response in CVD. These models will be used to define novel care pathways across the spectrum of CVD (i.e., from early risk to established HF) by using biomarkers and predictive algorithms to assess changes in risk and stratify patients according to their individual responses to therapy. By being a central part of this initiative, you will have the opportunity to expand your network across both the industrial and public partners involved in this collaboration.
The position
The successful candidate will apply machine learning and deep learning techniques to develop predictive models based on multiple existing patient cohort datasets from various sources, including industrial partners. Your focus will be to develop deep learning models to extract features from patient imaging datasets (including echocardiography, x-ray, CT scans, MRI, Doppler) and exploit these to enhance predictions of heart-failure prognosis or treatment response. You will also contribute to another large collaborative project (‘COMBINE’) to develop AI-powered Coronary Computed Tomography Angiography methods to enable definitive ischemia diagnosis, accurate patient stratification, efficient treatment planning, and patient-specific follow-up.
Some of your main tasks related to the project will include:
- Creating data profiling and merging techniques to harmonise and combine data from different cohorts and different patient populations, with a focus on imaging data
- Working with other researchers and IHI postdocs to analyse and interpret results from imaging biomarker identification in these patient cohorts; including collaborators within the CVD area in Global Drug Discovery at Novo Nordisk
- Defining, testing, and validating models for prediction of 1) heart-failure progression and 2) treatment response
- Creating personalised prediction models and imitating digital twinning to predict disease progression of a specific patient
- Assuming responsibility, stakeholder management, clear communication, and driving research work will be essential parts of your workday.
- Liaising with the public-private partnership team, participating in communication and publication activities
The position is of two years’ duration starting 1st of October 2023 based at a Novo Nordisk research site either in Oxford (UK) or Måløv (Denmark).
Qualifications
You hold a Ph.D. in a relevant discipline such as applied statistics, computer science, physics, computational biology, etc. You have strong programming skills in Python/R, substantial experience training and interpreting machine-learning models, and experience working with large and heterogenous data. You will also have substantial experience building and deploying models to segment and extract features from images, ideally images derived from patients/organs.
You will be able to clearly demonstrate:
- Experience with a variety of techniques in deep-learning applied to imaging (CNN, transformers, segmentation, etc)
- Evidence of having independently driven projects (preferably in collaborative settings), as well as a strong publication record
- Strong data analysis, visualisation, and interpretation skills
- Fluency in English, both written and spoken (company language)
- Expertise in the cardiovascular disease area will be highly advantageous.
On a personal level, you have strong collaborative and communication skills. You are well-organised, capable of working independently and with a strong personal drive and dedication.
About the Department
Digital Science & Innovation (DSI) is supporting the digital journey across all our therapy areas in Research and Early Development (R&ED). In DSI, we work in multidisciplinary teams – in strong collaboration with all areas across R&ED and R&ED IT. We participate in the drug development projects across the value chain, from early discovery to pre-clinical development. We engage in external collaborations to ensure access to the latest research and technology enablers, and we automate our labs and processes, and we focus on developing and retaining top talent.
Working at Novo Nordisk
At Novo Nordisk your skills, commitment and ambition will contribute to our mission of defeating diabetes, obesity, and other serious chronic diseases. In return, we offer you a chance to work alongside exceptional talent and foster your professional and personal growth.
Contact
For further information, please contact:
Robert Kitchen, Head of Systems Biology and Target Discovery: jzrk@novonordisk.com /+44 7775 006813
- Or -
Nicholas Ciccone, Global Alliances & Partnership Lead: nwci@novonordisk.com /+45 30790344
Deadline
16th February 2024
Applications will be reviewed on an ongoing basis. You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo to your CV.
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.
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