Senior Scientist in Genetics

4 weeks ago


London, Greater London, United Kingdom Novo Nordisk AS Full time

We are seeking a highly skilled Senior Scientist in Genetics to join our team at Novo Nordisk A/S. As a key member of our Translational Genomics and Precision Medicine Department, you will play a crucial role in implementing cutting-edge human genetics insights to drive precision medicine efforts across our therapeutic areas of interest.

In this role, you will analyze large-scale genetics data from biobanks, integrate with other omics, and generate hypotheses regarding novel drug targets and patient stratification. You will work closely with colleagues to identify areas where genetics can help guide decision making, such as indication selection and adverse effects.

You will also analyze trial data with genetics to inform decision making and identify populations that will respond best to treatments developed by our scientists. The ideal candidate holds a Ph.D. in human genetics, statistical genetics, genetic epidemiology, pharmacogenomics, or other related fields.

The Human Genetics Centre of Excellence (CoE) is part of a collaborative endeavour where you will work alongside statistical geneticists, clinicians, and computational and laboratory scientists from across the organisation, and with external collaborators, to help get the right treatment to the right patient.

Key Responsibilities:

  • Analyze large-scale genetics data from biobanks and integrate with other omics
  • Work closely with colleagues to identify areas where genetics can help guide decision making
  • Analyze trial data with genetics to inform decision making and identify populations that will respond best to treatments developed by our scientists

Requirements:

  • Ph.D. in human genetics, statistical genetics, genetic epidemiology, pharmacogenomics, or other related fields
  • Post-doctoral experience with approaches for marker-trait and gene-trait association (GWAS, PheWAS, TWAS, QTL mapping, Mendelian randomization, etc)
  • Knowledge and experience of data-driven methods to characterize multimorbidity and a general understanding of the biology and pathophysiology underpinning common cardiometabolic diseases
  • Experience of communicating insights and presenting concepts to a diverse audience


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