The Cambridge-GSK Translational Immunology Collaboration is a new, interdisciplinary partnership between the University of Cambridge and GSK, bringing together expertise in immunology, AI and clinical development from both partners. The collaboration will focus on two disease areas: chronic kidney disease, estimated to affect 850 million people, roughly 10% of the world's population and chronic respiratory disease, affecting around 545 million people.
The University of Cambridge is seeking a highly motivated and professional computational biology data scientist to lead an analytical team that will drive research and underpin the work of clinical and immunological researchers within CG-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, mentoring and educating clinical investigators in research methods and overseeing a team of data scientists.
Who you'll be working with
The role is based in the Department of Medicine, working with clinical and scientific researchers from CG-TIC who are based primarily in the Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID) and the Victor Phillip Dahdaleh Heart & Lung Research Institute (HLRI). CG-TIC also incorporates clinician researchers from the nearby Addenbrooke's and Royal Papworth Hospitals, and our partners at GSK. You will advise the CG-TIC Data Management Committee on research issues and cutting-edge approaches to data analysis. Leading your team of data scientists, you will provide a comprehensive data analytics service, working with research colleagues across CG-TIC to process and analyse complex and varied datasets.
What you will do
The collaboration will generate and have access to clinical and immunological data as well as many large data sets, including spectral immune phenotyping, proteomics and single cell sequencing data (both spatial and droplet) and Electronic Healthcare Record data. As well as ingestion, processing and analysis of data, you will be able to present your results to others in the collaboration and at conferences. You will be working with a wide range of stakeholders, and attention to detail and good organisational skills are key to the role.
Key duties include:
* Taking the computational biology lead on studies, including study design, analysis planning, programming, and data management to ensure implementation of plans.
* Direct management and mentoring of a team of data scientists.
* Collaborating with clinical and lab-based investigators in the different themes within CG-TIC to develop project-specific analysis plans.
* Leading methodological projects, including the incorporation or development of novel methods, and including collaboration with researchers in the Cambridge Centre for Artificial Intelligence in Medicinehttps://ccaim.uk/about/.
* Working with partners at GSK, sharing approaches to data analysis, and ensuring that the needs of all partners in the collaboration are met.
* Developing oral and written dissemination of findings for meetings with collaborators or publication as journal articles.
Fixed-term:The funds for this post are available for 2 years in the first instance.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
£46,735 to £59,139 per annum
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