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

As a Senior Genetic Informatician at Novo Nordisk, you will have an opportunity to work with genetic scientists across the Genetics Centre of Excellence (CoE) to build the tools and infrastructure that enable our human genetic analyses.

As part of your role, you will:

Develop computational tools, working collaboratively with colleagues and ensuring good coding and software development practices are followed throughout. Improve genetic analyses by evaluating and integrating novel methods and data from scientific literature or other sources, developing novel solutions where necessary. Identify and help champion best practices for scientific and computational work in the Genetics CoE.

We offer a hybrid-working model for this role, where office presence in Oxford or London would be expected 2-3 times per week. There is also a possibility for the role to be based in Copenhagen, Denmark.

Qualifications

We are looking for a candidate with strong interpersonal skills who can communicate clearly with both scientific and computational experts. Experience working within an agile/Scrum environment and in the biotech industry would be a plus.

The qualifications needed for the role include:

PhD in bioinformatics, computational biology, computer science, machine learning or related field with experience in biology and genetics applications Substantial experience in genetics research and genetic analyses Substantial experience developing tools and pipelines in programming languages such as Python and R Experience working in high performance computing environment (HPC, Slurm) and cloud environments such as AWS or Azure Experience developing scientific workflows and pipelines (e.g. with Nextflow) following good software development practices (e.g. using Git for version control)

About the Department

You will join our Computational and Statistical Genomics (CSG) team, which is part of the Human Genetics Centre of Excellence (CoE) and based primarily in Oxford.

The focus of the Genetics CoE is to use data science and human genetics to discover and develop new drug targets and biomarkers through a range of human centric approaches e.g., high-throughput genetic discovery screens; Mendelian randomization; pLoF variant screens and precision medicine approaches. It is anchored in the newly established Digital Science & Innovation (DSI) organisation within Research & Early Development at Novo Nordisk, as part of the AI and Digital Research unit. We participate in drug development projects across the value chain, from early discovery to pre-clinical development, engaging in therapy areas such as type 2 diabetes, chronic kidney disease, cardiovascular disease, metabolic dysfunction-associated steatohepatitis (MASH), obesity, and rare endocrine and blood disorders.

Our department offers a dynamic and collaborative atmosphere where you will have the chance to work with cutting-edge genetics research and researchers. Our team is committed to driving innovation and excellence in genetic analyses. You will work on interesting data sets and set new ways of working for the genetics department by building the tools they will use in the future.