Senior Statistician / Data Scientist

Posted Yesterday
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Søborg, Gribskov, Hovedstaden
5-7 Years Experience
Healthtech • Software • Pharmaceutical
Join us as we drive change to combat serious chronic diseases.
The Role
Senior Data Scientist/Statistician position at Novo Nordisk focusing on developing products, manufacturing processes, and analytical methods. Responsibilities include collaborating with cross-functional teams, driving digital transformation, and implementing statistical solutions. Required qualifications include a Master's or Ph.D. in statistics or engineering with at least 5 years of experience in the pharmaceutical industry. Additional experience with Machine learning, SAS, R, Python, and consultancy roles is advantageous.
Summary Generated by Built In

Do you want to use your statistical background to develop drugs and improve the lives for patients over the world? Do you want to help scientists in Novo Nordisk use their experimental resources and data in the best possible way? Are you passionate about extracting actionable insights from data and have a keen interest in digital transformation? If so, we offer an exciting position as Data Scientist/Statistician, so apply today!
The position
As a Senior Data Scientist/Statistician in CMC Development, you support the development of products, manufacturing processes and analytical methods together with four competent colleagues. You cooperate with colleagues from other areas of expertise across the organisation to solve their problems using advanced statistical methods. Good solutions balance business needs and quality requirements, and close collaboration with stakeholders is needed to ensure this. You will have the opportunity to leverage your exceptional communication skills and proactively engage with stakeholders within our organization to introduce and implement new ideas.
You can look forward to a broad variety of responsibilities, such as:

  • Collaborate with cross-functional teams to develop, deliver, and present statistical solutions in a clear language and ensure that they are used as intended.
  • Engage with internal stakeholders to identify opportunities for innovation and drive the adoption of new ideas within the organization.
  • Utilize your expertise in data science to drive digital transformation and automate across CMC Development.


The statistical tools are often linear mixed models, design of experiments, general explorative statistics, multivariate statistics, and statistical process control.
It is important that you are curious by nature in terms of new technologies and have an interest in areas like e.g., Machine learning, digital transformation etc.
Qualifications
You have a strong background in mathematical statistics as Master's of Science or Ph.D. in statistics or engineering. Preferably you have at least 5 years of experience from a similar position in the pharmaceutical industry with a proven track record.
It will be considered an advantage if you have:

  • Experience with implementation of Machine learning models in controlled manufacturing environment.
  • Experience with SAS for Windows and SAS JMP
  • Experience with R and (or) Python.
  • Experience of working in consultancy role


As a person, you are curious and interested in other scientific disciplines. You attend to details and are systematic in your work, while also focusing on how to simplify complex matters to communicate clearly with other scientists, management, or regulatory authorities. You work independently and with high engagement.
About the Department
You are part of the function CMC Digitalisation, Data & Outsourcing that delivers specialised support to CMC Development & Scaling. We are five Data Scientists/statisticians in the department. We value creativity, innovation, and the ability to work with people of different backgrounds and focus on standardising and optimising work processes. You have ample opportunity to develop your professional and personal skills as well as influencing your job.
CMC Outsourcing and Data Science is a department of approx. 31 highly competent colleagues with the shared goal to support the Novo Nordisk drug development pipeline. The Data Science team in the department supports the Novo Nordisk drug development pipeline through statistical support and process optimisation.
Working at Novo Nordisk
At Novo Nordisk, we create value by putting patients first. Every ten seconds two people are diagnosed with diabetes, and close to 366 million people worldwide need us. Working here is not just a way to make a living, but a way to make a difference.
Contact
For further information, please contact Statistical Specialist Ken Sejling at +45 3079 9188 or Head of Data Science Abdul Rauf Khan at [email protected].
Deadline
28 September 2024
Please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV.
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.

Top Skills

Python
R
SAS

What the Team is Saying

Mike
Anders
Claus
Christian
The Company
HQ: Bagsværd
64,000 Employees
Hybrid Workplace
Year Founded: 1923

What We Do

Novo Nordisk is a leading global healthcare company, founded in 1923 and headquartered in Denmark. Our purpose is to drive change to defeat diabetes and other serious chronic diseases such as obesity and rare blood and endocrine disorders. We do so by pioneering scientific breakthroughs, expanding access to our medicines, and working to prevent and ultimately cure disease.

We are powered by technology. Our Global Research Technologies, Medical Devices as a software, and Data Science teams are on the cutting edge of developing and supporting our life-saving medications.

Why Work With Us

Our purpose is to drive change to defeat serious chronic diseases, built upon our heritage in diabetes. We do so by pioneering scientific breakthroughs, expanding access to our medicines and working to prevent and ultimately cure the diseases we treat.

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