Degree in Computational Biology
Python Programming, DevOps, Machine learning techniques, Perl Programming, Deep Learning, AI technology, R Programming, Bash scripting, Bioinformatics, Computational Algorithms, Proteomics, Biomarker analytics, Deep neural networks, Renal, Cardiovascular, Cardiometabolic, Transcriptomics, Large scale multi omics data, Genetics
Would you like to be part of our mission to be a world-leading research site focused on asking the big and difficult questions and delivering high impact science? Are you a skilled geneticist or bioinformatician focused on ML/AI, driven by seeing your work translated into discovery of novel disease biomarkers for use in clinic? Then this opportunity may be the right one for you.
The position
We are looking for a highly motivated AI & Genetic Data Scientist, to work on state-of-the-art projects to apply ML in human genetic-driven biomarker discovery for a range of cardiometabolic diseases.
In this role you will have the opportunity to identify novel biomarkers by applying ML/AI methods to large-scale multi-omics data e.g., genetics, proteomics and transcriptomics. This will involve integrating and mining different layers of omics data using genetics as a scaffold to identify biomarkers for target engagement, efficacy, safety and potentially of disease progression and biomarkers of treatment response.
We are particularly interested in hearing from candidates with solid understanding of different AL/ML methods and experience of their application to genetics and other omics datasets.
You will be expected to develop and drive your own projects, while also providing expertise to existing projects at Novo Nordisk. Our research centre is a collaborative endeavour, and you will work alongside statistical geneticists, clinicians, and computational and laboratory scientists from across the organisation and particularly closely with our colleagues in Global Translation who lead biomarker discovery. You will be encouraged to develop external collaborations around new approaches for in silico biomarker discovery.
Qualifications
You should have a PhD in ML applications for biological data within genetics, bioinformatics, computational biology, computational genetics, along with postdoctoral experience followed by 3+ years of experience in an industry or academic setting.
We also expect:
About the department
You will be part of our Genetics for Early Drug Development Department which is part of the Human Genetics Centre of Excellence (CoE) led by Vice President, Joanna Howson PhD. The focus of the 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-through put genetic discovery screens; Mendelian randomization; pLoF variant screens and precision medicine approaches relevant to type 2 diabetes, chronic kidney disease, CVD, non-alcoholic steatohepatitis (NASH), obesity and rare endocrine and blood disorders.
We will be based at Novo Nordisk’s research Centre Oxford (NNRCO) in the heart of the world leading University of Oxford Medical campus. NNRCO is focused on bringing together in vitro and in silico scientists to discovery new biology and targets across the spectrum of cardiometabolic diseases. You can read more about Novo Nordisk Research Centre Oxford.
The Department is anchored in the newly established Digital Science & Innovation organisation within Research & Early Development at Novo Nordisk.
Digital Science & Innovation (DSI) is supporting the digital journey across all our therapy areas in R&ED. In DSI, we work in multidisciplinary teams – in strong collaboration with all areas across R&ED and R&ED IT. We participate in drug development projects across the value chain, from early discovery to pre-clinical development. We engage in external collaborations to ensure access to the latest research and technology enablers, and we automate our labs and processes, and we focus on developing and retaining top talent.
Novo Nordisk A/S is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with production facilities in eight countries, and affiliates or offices in five countries.
Plainsboro Township, NJ, USA
4-6 year
Lexington, KY, USA
6-8 year
Plainsboro Township, NJ, USA
2-4 year
Bagsværd, Denmark
0-2 year
Lexington, KY, USA
6-8 year
Lexington, KY, USA
10-12 year
Søborg, Denmark
2-4 year