Principal Scientist in data driven drug discovery

Updated: about 2 months ago
Location: Oxford, ENGLAND
Job Type: FullTime
Deadline: 23 Jul 2020

Do you want to be a senior member of a dynamic research department focusing on making genetic discoveries and translating them for drug discovery? Then you might be the new Principal Scientist in statistical genomics we are looking for at the Novo Nordisk Research Centre Oxford (NNRCO).

As our new Principal scientist in statistical genomics, you will join the Department of Genetics to lead projects focusing on integrating human genetics data with other ‘omics data and clinical data to identify new drug targets for cardiometabolic diseases.

*About Novo Nordisk Research Centre Oxford (NNRCO)*
NNRCO is our new translational research institute focused on target discovery across the broad spectrum of cardiometabolic disease. We aim to combine the very best of academia, biotech and big pharma, fusing a deep understanding of human genetics, an agile, creative and collaborative culture and drug development. NNRCO will be a world-leading research site focused on asking the big and difficult questions and delivering high impact science.

You can read more about NNRCO at: https://www.novonordisk.com/research-and-development/science-and-innovat...

*About the department*
You will be part of our Department of Genetics led by Sr. Director, Joanna Howson PhD, which will consist of Specialists, Research Scientists, and Postdocs. The focus of this Department is to use data science and human genetics to identify new drug targets, through a range of approaches e.g. high-throughput genetic discovery screens; Mendelian Randomization; pLoF variant screens and precision medicine approaches relevant to type 2 diabetes, non-alcoholic steatohepatitis (NASH) and cardiometabolic traits.

*The position*
We offer you an exciting position as a senior member of our Genetics department where you will have the opportunity to have an impact in a department which is currently developing rapidly both organisationally and scientifically.

In this position, you will work on state-of-the-art projects in human genetic-driven drug discovery for cardiometabolic diseases. Responsibilities include, but are not limited to: initiating your own projects to identify novel drug targets and developing collaborations with academia and relevant businesses to aid this endeavour; acting as a scientific role model within the team to support more junior members in design, execution and interpretation of analysis; acting as a subject-matter expert and provide genetics expertise across the company.

In extension, you will have a broad range of collaborators, ranging from other statistical geneticists, computational biologists, to clinicians and external partners. You will also work closely with the leader of the department to introduce new methods, platforms and data sets.

We welcome candidates with a good team ethic, who pay close attention to detail, enjoy a fast paced, dynamic environment where creative intellectual independence is actively encouraged. Most importantly, you must be highly motivated by the opportunity to work with human genetics in the early stages of the drug discovery process. The successful candidate will be a key contributor in the group, and we are open to shaping the role to best fit your personal development and competencies in statistical genetics.

*Qualifications*
You have a PhD in a relevant field e.g. statistical genetics, genetic epidemiology or computational genetics and considerable relevant experience post PhD either in academia or a drug discovery setting. You are expected to have in-depth understanding of human genetic data e.g. genome-wide association studies (GWAS) and translating these findings.

Ideal candidates will also have experience of analysing and evaluating ‘omics data such as transcriptomics/proteomics/metabolomics and integration of these data to elucidate causal genes and pathways. A good understanding of statistical concepts, experience of manipulating and managing large datasets and strong computational skills including in statistical packages e.g. python, R, perl, bash would be highly desirable. A background in cardiometabolic trait research (e.g. T2D, renal, coronary artery disease, liver disease) would be an advantage.

You will be expected to work well both independently designing and driving the direction of projects, as well as collaboratively as part of a team alongside other inter-disciplinary colleagues in the project team and across NNRCO departments. You show a positive “can-do” attitude, are flexible, open to new ideas and are results oriented. The job requires proficiency in English and excellent communication and collaboration skills.

*Working at Novo Nordisk*
At Novo Nordisk, we use our skills, dedication and ambition to help people with diabetes. We offer the chance to be part of a truly global work place, where passion and engagement are met with opportunities for professional and personal development.

*Contact*
For more information, please contact recruitment partner Nana Nielsen at (+45)30776105 or Jo Howson by email: zjhw@novonordisk.com

*Deadline*
23rd July 2020


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