Research Scientist - Biomedical Knowledge Graphs

Category:  Research

Oxford, South East, GB


Would you like to work with knowledge graphs to identify new drug targets for cardiometabolic diseases? Are you motivated by driving functional strategies and being part of a team committed to having fun while working on hard problems? Then you may be the new colleague we are looking for to join our early-stage drug target discovery efforts in the Computational Biology department at the Novo Nordisk Research Centre, Oxford (NNRCO). 



The Position

In this role, you will support the development and optimisation of our in-house knowledge graph (KG) and you will engage in numerous efforts to interrogate the KG to identify, annotate, and prioritize new drug targets for cardiometabolic diseases.


Our KG-driven projects utilize a broad range of proprietary and public data (text, genetics, high-throughput functional genomics, and patient-level data).  These are modelled in a graph database upon which we apply various computational discovery approaches.  To contribute to this effort, you will leverage your expertise in data science/machine learning, bioinformatics, systems biology, and data mining/integration.


Under the guidance of senior research staff across NNRCO you will have the freedom to identify and champion novel drug targets and you will work closely with in-vitro and in-silico scientists across the organisation.  This will include building internal and external collaborations, exploring novel data sets and methodologies, creating and driving cross-functional projects, and participate in group strategy discussions.


Success is demonstrated on several levels including contributing to strategic innovation in the group, mentoring young scientists, proposing, and presenting new target candidates, creating molecular insights into disease, producing scientific publications, and driving collaborations to pre-defined endpoints.

Some travel is expected in the role. We offer flexibility in location across Oxford UK, Måløv Denmark, and Boston USA.



To be successful in the role you will have a PhD and postdoctoral experience in computational biology (or in a similar relevant discipline). You will have strong programming skills in Python/R, substantial high-throughput computing experience, and be comfortable working in a Unix environment.

You will demonstrate:

  • experience working with data derived from a variety of sources including large-scale biomedical text, genetics, functional genomics and prior knowledge such as pathways and other molecular interactions
  • having independently driven collaborative projects, published and presented in international contexts, and demonstrated coordination capabilities
  • experience with machine learning and network/graph-based analyses (highly valued). Prior experience in industry/clinical contexts is strongly preferred.


Personally, you thrive working in tight multi-disciplinary teams and are driven by independently creating value to the organisation.  You are conscientious and able to contribute to a positive working environment on site.



About the Department

You will join the Computational Biology team at NNRCO, located at Oxford University’s Old Road Campus. The group boasts significant expertise across a diverse set of disciplines in computational biology, bioinformatics, genetics, and machine learning; not least multi-omics data integration, systems biology, and knowledge-graphs.  In addition to staff scientists, our group hosts and collaborates with researchers from Oxford University and other renowned international laboratories, and we undertake a number of ambitious academic and in-house projects.  Our focus is drug-target identification and providing insights from heterogenous data sources.

NNRCO is Novo Nordisk’s research centre, focused on biology and target discovery across the broad spectrum of cardiometabolic disease. We use genetics, functional genomics, human-centric disease models and computational biology to develop an unparalleled understanding of cardiometabolic disease and deliver therapies that transform the lives of patients. You can read more about Novo Nordisk Research Centre Oxford at:


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.



Working at Novo Nordisk

We are a proud life-science company, and life is our reason to exist. We’re inspired by life in all its forms and shapes, ups and downs, opportunities and challenges. For employees at Novo Nordisk, life means many things – from the building blocks of life that form the basis of ground-breaking scientific research, to our rich personal lives that motivate and energise us to perform our best at work. Ultimately, life is why we’re all here - to ensure that people can lead a life independent of chronic disease.




For further information, please contact Dr Ramneek Gupta (+44-7824-606773) or Dr Robert Kitchen (+44-7775-006813).  Please submit your application via the Novo Nordisk website.  We are unable to accept direct CVs.




Apply before September 10th, 2022






We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 


At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.