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Data Scientist / Statistician (Denmark, Søborg)

Novo Nordisk A/S



Jobbeskrivelse
Placering
Søborg, Denmark

Jobkategori
Data & AI

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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 a passionate and have keen interest in digital transformation? If so, we offer an exciting position as Data Scientist/Statistician, apply today!

The position
As a Data Scientist/Statistician in CMC Development & Scaling, you support the development of products, manufacturing processes and analytical methods together with four competent colleagues. You cooperate with colleagues of other areas of expertise across the organisation to solve their problems using advance 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 & Scaling.
  • Develop and teach courses and workshops in statistical topics.

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 in Science or Ph.D. in statistics or engineering. Preferably you have at least 3 years of experience from a similar position in the pharmaceutical industry with a proven track record. Alternatively, you could be a recent graduate with a strong statistical background and a solid desire to pursue a career within Statistics and Data Science. You speak and write English and preferably also Danish fluently.

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 or similar to ensure great stakeholder management and communication skills.

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, with high engagement, and a drive to make improvements where you see the possibilities.

About the Department
As part of Novo Nordisk PSQIT organisation, Chemistry, Manufacturing and Control (CMC) Development & Scaling makes a real difference for patients with chronic diseases across the world. We develop, manufacture and distribute drug candidates for clinical trials and have a strong culture with a “can do” mind-set.

You are part of the function CMC Digitalisation, Data & Outsourcing that delivers specialised support to CMC Development & Scaling. We are five statisticians in the department. We value creativity, innovation, and the ability to work with people of different background 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 Digitalisation, Data & Outsourcing is a function of approx. 60 highly competent colleagues with the shared goal to support the Novo Nordisk drug development pipeline. The statisticians in the department support the Novo Nordisk drug development pipeline through statistical support and process optimisation.

Working at Novo Nordisk
At Novo Nordisk, we don’t wait for a change. We drive it. We’re a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating on perfection. We never shy away from opportunities to develop, we seize them. From research and development to manufacturing, marketing, and sales – we’re all working to move the needle on patient care.

Contact
For further information, please contact Statistical Specialist Ken Sejling at [email protected] or phone +45 3079 9188) or Head of Data Science Abdul Rauf Khan at [email protected].

Deadline
21 May 2024

You do not need to attach a cover letter to your application, but 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.

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Novo Nordisk A/S

Novo Allé, 2880 Bagsværd

Novo Nordisk is a global healthcare company with more than 90 years of innovation and leadership in diabetes care. This heritage has given us experience and capabilities that also enable us to help people defeat other serious chronic conditions: haemophilia, growth disorders and obesity.

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