Student Assistant for Deep Learning

Data Science & AI Posted date 11 October 2020 GentofteNovo Nordisk

You will be part of Advanced Analytics team within our Manufacturing Development area. Main responsibilities for the team are supporting and optimizing all parts of the production, using IT, data and lean, from the manufacturing of active pharmaceutical ingredients, all the way through packaging to finished products. We are currently on a journey towards becoming even more data driven in this role.

As a student worker in Novo Nordisk you get the opportunity to learn more about the pharmaceutical industry and will get exposure to fields ranging from microbiology to software development and advanced machine learning.

The job

We are looking for a student worker to support our Data Scientists for 8 – 16 hours per week. The main tasks will be supporting the projects to apply deep learning in vision projects. It involves Python scripting. Besides that you will be involved in the technical development (e.g. mounting cameras. 3D printing of mounts, optimize light settings) and solution with regards to implementing the vision system. You might be driving minor projects.

The job will enable you to put your theoretical knowledge into practice while at the same time gain industry experience and build a network with talented professionals in the organisation.


We expect that you have, or are engaged in, an academic education on Bachelor level in an engineering field or the natural sciences, with strong IT-skills. Curiosity about biological processes and  programming experience preferably Python. You are professional, self-engaged and show a high degree of attention to detail. You must have a mindset of an entrepreneur.

You have an interest in working image recognition and deep learning. You can keep deadlines. You are fluent in both written and spoken English. Finally, you must have a keen eye for details, and be able to see potential flaws.

At Novo Nordisk, your skills, dedication and ambition help us change lives for the better. In exchange, we offer you an opportunity to work with extraordinary talent and benefit from a range of possibilities for professional and personal development.

  • Posted date 11 October 2020
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