Do you want to be part of implementing world-class data science products in a dynamic team with a high degree of autonomy? In this position you will build full-stack data science products based on clinical and real-world pharmaceutical data assets that will enable more intelligent use of data and ultimately improve the lives of people living with chronic diseases.
About the department
In Global Development, we are responsible for managing clinical drug development worldwide from early development phases to product launch. We provide medical and scientific documentation for clinical submissions and authorities while ensuring that the process lives up to global standards, regulations and business ethics.
You will become a part of our Digital Innovation department belonging to Global Development and located in Søborg, Denmark. The aim of the department is to develop novel digital solutions to increase value generation throughout the clinical development value chain. The digital solutions span across many areas and technologies, but a central objective is to develop new ways of creating value from our vast data repositories and to automate administrative and manual tasks.
As Data Scientist you will use your programming and machine learning skills and understanding of data to develop concrete solutions to support the business. You will be working on a larger scale data science product together with a team of data scientists and data engineers. You will ensure that data insights are provided in an intuitive way to internal customers in the organization. We have a cloud-based CI/CD setup so developers can collaborate and deploy solutions in a fast and secure way.
We would like if you could tick of some of these boxes:
· A master’s degree or PhD in a field of modelling like Mathematics, Engineering, Physics, Economics, Computer Science, Social Sciences or similar.
· >3 years of experience with programming, data science/engineering or equivalent.
· Strong analytical mindset and a high level of statistical understanding.
· Solid experience with Python and implementation of machine learning models.
· Experience with bash shell and docker containers.
· Experience with SQL and NoSQL databases.
Experience with clinical data and working in a regulated setting will be an advantage – as will experience with CI/CD (e.g. Azure DevOps) and agile (scrum) principles.
It is essential that you can use your good interpersonal and communication skills to achieve results together with others. We treasure the positive atmosphere in our team and count on you to engage and participate in a positive manner as well.
Working at Novo Nordisk
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 to benefit from a range of possibilities for professional and personal development.