Innovative Medicines Initiative (IMI) Data Science Postdoc: Federated analysis

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Søborg

Are you looking for an opportunity to apply your programming and data analysis skills to increase the understanding of and optimise future treatment of obesity? Then this may be your opportunity to kickstart an exciting career in a global organisation. We are seeking a talented postdoc to work within the Novo Nordisk led Innovative Medicines Initiative (IMI) project SOPHIA. Apply now! The position Obesity currently affects 150 million people in Europe and 650 million people worldwide and increases the risk of associated health concerns such as type 2 diabetes, gallbladder disease, liver disease and increased cardiometabolic and cancer risk. Finding a solution requires new knowledge about the biological underpinning of the disease and the development of a new shared narrative. The EU-funded Public-private Partnership project, Stratification of Obesity Phenotypes to Optimise Future Therapy (SOPHIA) aims to advance the growing body of evidence that obesity is the result of a complex pathogenesis with a biological basis, and that there are many discrete subpopulations of people with different types of obesity. As a Data Science Postdoc, you will contribute your data analysis skills to create evidence from clinical trials and observational data sources towards an advanced understanding of obesity. You will also support pharmacologists by applying machine learning methods to identify predictors of response to obesity treatments. You will be working in a team of data scientists, pharmacologists and stakeholders from across Novo Nordisk, other companies and academic partners in the IMI network. In this role, you are expected to build upon your knowledge of analytical methodologies and further develop and implement these into your daily work. Moreover, you are responsible for communicating your results and findings in a clear and convincing manner through various dissemination activities. The successful candidate will be involved in several tasks related to the project:
  • Perform multilayer integrative data analysis using federated machine-learning tools and models to identify biomarkers for patient stratification in terms of risk of obesity and response to treatment.
  • Conduct database normalisation and visualisation using reporting tools (e.g., Shiny).
  • Conduct project coordination and technical writing.
  • Collaborating with several partner institutes (pharmaceutical and academia).
  • Ensuring stakeholder management and clear communication of results.
  • Liaising with the Public-Private Partnership team for communication and publication activities.
    • Qualifications
  • PhD in Computer science, Pharmaceutical or other Life sciences, Physics, Bioinformatics, Mathematics, Engineering or equivalent.
  • Experience from the pharmaceutical, medical or biological area, with managing, analysing, documenting and programming large and complex data.
  • Experience transforming and analysing data by writing advanced, well-performing and maintainable code in either R (preferable) or Python.
  • Experience with machine learning methodologies, cloud computing and distributed or federated data analysis.
  • Well-organised and able to work both independently and in collaboration with others.
  • Fluent in English, both written and spoken (company language).
    • About the department The position reports to the Director, Integrated Omics in the Development Data Science department in Novo Nordisk. The Integrated Omics team focusses on multi-omics approach using large-scale omics datasets generated from clinical trials. Internal partners include data scientists, biostatisticians, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT supports, and others across US and Denmark. External relationships include relationships with commercial and academic collaboration partners. Working at Novo Nordisk Novo Nordisk is a global healthcare company with more than 90 years of innovation and leadership in diabetes care. At Novo Nordisk your skills, commitment and ambition will help us drive change to defeat diabetes, obesity, and other serious chronic diseases. In exchange, we offer you a chance to work with extraordinary talent and to develop professionally and personally. Headquartered in Denmark, Novo Nordisk employs approximately 42,000 people in 80 countries and markets its products in more than 170 countries. Contact For further information, please contact: Keng Soh, Director, Integrated Omics: [email protected] or Alix Feldman, Global Alliances & Partnership Manager: [email protected] / +45 34 48 43 07 (direct) Deadline 25 Dec 2023. Note that the interviews will be conducted on an ongoing basis. 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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    Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".

    Arbejdsstedet er beliggende i Søborg.

    Jobbet er oprettet på vores service den 3.11.2023, men kan have været deaktiveret og genaktiveret igen.

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    • Øvrige
    • Søborg
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