Senior Scientist in Genetics

at  Novo Nordisk

Senior Scientist in Genetics
Category: Data & AI
Location:London, London, GB
For over 100 years we have been driving change to defeat diabetes, but we know that what got us here today is not necessarily what will make us successful in the future. We are now transforming our business and taking our expertise into new territories including obesity and rare blood and endocrine diseases.
Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality – Britain’s Healthiest Workplace.

THE POSITION

We are looking for a Senior Scientist in Genetics to join us in our London office, to implement cutting-edge human genetics insights to answer questions that will support human-genetics driven precision medicine across our therapeutic areas of interest (including Type 2 Diabetes, Obesity, CVD, and rare endocrine and blood disorders) and improve clinical trial success. We welcome candidates with human genetics knowledge applied in a drug discovery or development setting to enhance our precision medicine efforts.

In this role you will:

• Analyse large-scale genetics data from biobanks and integrate with other omics – to generate hypotheses regarding novel drug targets and patient stratification
• work closely with colleagues to identify areas where genetics can help guide decision making e.g., indication selection, adverse effects
• Analyse trial data with genetics to inform decision making and identify populations that will respond best to the treatments developed by our scientists.

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.

QUALIFICATIONS

The ideal candidate holds a Ph.D. in human genetics, statistical genetics, genetic epidemiology, pharmacogenomics, or other related fields. As a person, you have a good team ethic, pay
close attention to detail, and enjoy a fast paced, dynamic environment where creative intellectual independence and knowledge sharing is actively encouraged. Most importantly, you must have a strong interest in applying your skills in the field of drug development.

Additionally, you:

• Have some years of post-doctoral experience with approaches for marker-trait and gene-trait association (GWAS, PheWAS, TWAS, QTL mapping, Mendelian randomization, etc).
• Have knowledge and experience of data-driven methods to characterize multimorbidity and a general understanding of the biology and pathophysiology underpinning common cardiometabolic diseases
• Possess knowledge of, and experience using programming languages, for analysis of large-scale datasets, e.g., R, Python, or similar
• Have experience of communicating insights and presenting concepts to a diverse audience.
• Are self-driven and work well in interdisciplinary teams.
• Experience with ancestry diverse genetic data would be an advantage.

• Analyse large-scale genetics data from biobanks and integrate with other omics – to generate hypotheses regarding novel drug targets and patient stratification
• work closely with colleagues to identify areas where genetics can help guide decision making e.g., indication selection, adverse effects
• Analyse trial data with genetics to inform decision making and identify populations that will respond best to the treatments developed by our scientists