Job description

Data Scientist for Operation and Scaling of Deep Learning models for Visual Inspection


Product Supply, Manufacturing Development


Denmark - Bagsværd


If you’re looking to use your experience in state-of-the-art deep learning models for image recognition to provide patients that rely on Novo Nordisk with high quality products, while reducing the environmental impact from production, here is your chance.


About the department

Injectable Finished Products (IFP) Site Support & Improvements is a dynamic department, consisting of 120 employees. The department provides site support and improvement projects (e.g., optimization, aseptic production) of diverse complexity to the global organization. A high level of knowledge and process understanding is anchored in the department.


In this position you will be connected to a cross functional team between two departments. The team is responsible for developing and maintaining deep learning algorithms within visual inspection, a process ensuring that products with significant defects will not be delivered to customers and to facilitate correction and improvement of the manufacturing process.


The team consists of a Programme lead, 3 data scientists and a project manager.


The job

Together with the department and a cross functional team you will be responsible for maintaining and optimising the deep learning models that are deployed in production to ensure continuous high performance.


This also includes being responsible for maintaining and updating the data that is the foundation of the models. Further you will be part of getting new models into operation as the deep learning models are scaled across our global production sites.


You will be working close together with other data scientists, statisticians, software developers, production, and students.


Qualifications

  • You have a relevant education at minimum Master Level (e.g. Applied Mathematics, Engineering, Computer Science).
  • You have proven hands-on experience and extensive knowledge of image analysis using deep learning
  • You have knowledge of traditional image analysis
  • You are an experienced Python developer and are using Tensorflow or PyTorch
  • You have preferable been exposed to DevOps and Docker.
  • You preferable have knowledge of utilisation of Amazon Web Services, especially SageMaker and S3

On the personal side you have a strong drive and can work independently within your area of expertise. You can work in a team and communicate with highly specialised colleagues.


You have a high-quality mindset and are committed to provide work that lives up to the high requirements that are essential in the pharmaceutical industry where patients daily rely on the high quality of our products.


As we are a global company and an international team, fluency in both spoken and written English is required.


Experience from relevant industry such as pharmaceutical, biotechnology, or medical device industries is a plus.


Deadline

8th of August 2022


Working at Novo Nordisk

At Novo Nordisk, we have been changing diabetes since 1923. If you are ready to strengthen our position as an innovative pioneer and respected industry leader, we encourage you to join us.


Contact

For further information, please contact Senior Manager Britt S. Jensen +45 30798462 or Program Lead Gitte Windfeldt at +45 3075 7644.


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. In addition, please avoid the use of photos in your CV. This makes for a better and more fair process.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.


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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