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Postdoctoral Researcher in Digital Histopathology

We are looking for a post-doctoral fellow with experience in developing image analysis algorithms to establish machine learning approaches for image classification. The work will aid target identification and biomarker discovery efforts across our different therapeutic areas and help enable high-throughput histopathology workflows.

About the department
Global Research Informatics is dedicated to using Bioinformatics and Computer Science to advance medical research. Together, we design and develop specialised computer systems and analyse a diverse range of experimental and biological data to support the early stages of Novo Nordisk’s drug research across our sites in Denmark, China, UK and the USA.

The Histology & Imaging department employs state-of-the-art histology and imaging technologies to support early and late stage research projects with detection and quantitation of drug and drug receptors as well as efficacy and safety markers. In brief we visualise the distribution of peptides and proteins using a wide range of 3D and 2D imaging platforms including Single Plane Illumination Microscopy (SPIM), confocal microscopy and conventional microscope-based technologies.

The position
The successful candidate will support translational research, biomarker development and discovery Biology for novel therapeutic targets for the treatment of diabetes, obesity and other chronic diseases. They will help create and implement the next generation of knowledge discovery tools, by developing cutting-edge machine learning algorithms to extract decision making signals from digital brightfield and fluorescence images from in-house and public histopathology data sets. The position will require experience in the rapid prototyping and testing of existing/novel convolutional neural network designs.

Located in Novo Nordisk's research site in Denmark, the postdoc will be working jointly in Global Research Informatics and the Histology & Imaging department in Diabetes Research. The postdoc will be part of cross-departmental research teams and will be working in close collaboration with research scientists. Developing and maintaining a strong network of different experts bringing together biology and machine learning will be an important part of your work, with good opportunities for personal and professional development.

The position is of two years duration.

Qualifications
We are looking for a candidate with a PhD in Computer Science, Engineering or related discipline and demonstrated experience of the following.

  • Python or R programming and data analytics skills with experience using relevant libraries (e.g. numpy, scipy, openCV, scikit-image)
  • Experience in design and optimisation of convolutional neuronal networks, ideally in the image analysis domain
  • Knowledge of state of the art machine learning algorithms (e.g. Bayesian learning, convnets) graph analysis (e.g. random walk, gradient decent) and statistical modelling (e.g. hypothesis testing, dimensionality reduction)
  • Collaborating with other researchers or external stakeholders to develop algorithms for use by others
  • Communicating progress and results to external stakeholders
  • Presenting at scientific or industrial conferences

The following skills are desirable but not essential.

  • Handling and analysis of whole slide histology images
  • Working with pathologists or other domain experts to annotate images for algorithm development
  • Experience with large genetics and genomics (e.g. transcriptomics) data sets

Working at Novo Nordisk
In this job you will experience how your work can improve the lives of people with diabetes and other serious diseases. The Global Research Unit at Novo Nordisk specialises in the discovery of biopharmaceuticals for the treatment of diabetes and obesity and other chronic diseases conducting world-class research in the Greater Copenhagen area, Beijing, Seattle, Indianapolis and Oxford. Our ambition is to discover and develop new innovative biopharmaceuticals for the benefit of patients.

Contact
For further information, please contact Martijn van de Bunt at +45 3075 0264.

Deadline
30 April 2018.


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