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UDLØBET

Novo Nordisk

Senior Statistical Programmer for Clinical Development

Fuldtid

Permanent

Alfred Nobels Vej 27, 9220 Aalborg Øst, Danmark

SE PÅ KORT
ID: 2592428
|
Indrykket for 16 dage siden

Are you passionate about programming and clinical development? Do you want to be part of a global organization that is dedicated to improving the lives of patients?

We are currently seeking programmers to join our Diabetes project area at Novo Nordisk in Aalborg, Denmark. If you are ready to contribute to the clinical development of new products and make a difference, read on and apply today for a life-changing career!

The position 

As a Programmer for Clinical Development at Novo Nordisk, you will be part of the Biostatistics team, utilizing your programming knowledge to explore clinical studies. 

The Programmer is responsible for: 

  • Planning, managing, and executing statistical programming deliverables in clinical studies 

  • Providing input, such as tables, figures, and listings, to the required documents for the studies 

  • Ensuring that clinical study tasks align with the project specifications 

  • Delivering high quality, robust code, and data to health authorities. 

  • Utilizing advanced programming techniques and contributing to the development of Biostatistics. 

  • Qualifications 

    The core requirements to succeed in this position are: 

  • MSc or PhD in Natural or Technical Sciences (or equivalent theoretical background). 

  • 3+ years of experience with scientific programming and preferably 1+ year within clinical development or biostatistics. 

  • Demonstrated ability to drive projects as a proactive team member. 

  • Ability to drive progress autonomously and engage in clear decision-making. 

  • Skilled programmer within R, Python, and/or SAS. 

  • Positive mindset and a passion for fostering constructive innovation. 

  • About the department 

    Our Biostatistics organization consists of 400 people, with the majority located in Denmark and India, and smaller teams in China, Japan, Spain, UK, and US. We primarily perform our statistical work in-house, offering a wide variety of statistical tasks and challenges, and providing a large scientific community. 

    We strive for an inspiring working environment with a focus on collaboration and opportunities for personal growth and development. We have a positive and informal atmosphere in our daily work and a sustainable balance between work and other priorities. 

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