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Director of Digital Science Partnerships

2 months ago


Ballerup, Ballerup Kommune, Denmark Novo Nordisk AS Full time
About the Role

We are seeking a highly skilled and experienced professional to join our team as a Director of Digital Science External Partnerships. In this key position, you will play a crucial role in shaping and accelerating scientific innovation in early research and drug discovery.

Key Responsibilities
  • Identify and mature digital opportunities, ensuring that projects with external partners address strategic needs within R&ED.
  • Lead cross-functional project teams to drive the execution of major digital partnerships, providing project management and strategic direction.
  • Provide strong internal and external stakeholder management to ensure continuous alignment on scientific and business value.
  • Collaborate with internal stakeholders to understand business needs and develop partnership opportunities with strategic fit.
  • Develop long- and short-term business strategies and plans for engagement with key external digital partners and oversee implementation.
Requirements
  • PhD in computational science, data science, bioinformatics, or a related field.
  • Proven experience in in-silico/AI-driven drug discovery from pharmaceutical companies, biotech, and tech companies.
  • Hands-on experience in project leadership and management, including establishing and executing strategic projects.
  • Solid industry experience working with external partners in the digital space of drug discovery.
  • Proven experience in business development, including identifying and evaluating new opportunities.
About the Department

At Digital Science External Partnerships (DSEP), we are dedicated to formulating the digital external innovation strategy and driving its execution in close collaboration with stakeholders across R&ED. Our role encompasses identifying, prioritizing, and project-managing strategic digital partnerships.

We are committed to delivering value and ensuring access to cutting-edge technologies, such as AI/ML and LLM-based methodologies, as well as human cohort data, all of which are instrumental for target/biomarker discovery, computational biology, and drug design in early research and drug discovery.