Researcher in Biology

University of Cambridge

Researcher in Biology

The charity Alzheimer's Research UK has funded the formation of a research informatics team to work across the three drug discovery institutes within its Drug Discovery Alliance (DDA). This creates a unique opportunity for three research Informaticians to join a vibrant consortium of translational neuroscience teams in the UK's life-science 'golden triangle' that encompasses the Alzheimer's research UK's drug discovery institutes (DDIs) (https://www.alzheimersresearchuk.org/about-us/how-we-do-it/big-initiatives/drug-discovery-alliance/) at the universities of Oxford, Cambridge and UCL, and also the EBI's Open Targets team (www.opentargets.org). The team's purpose is to unlock the potential of the vast data deposits now accumulating in the life-sciences, in pursuit of our overall goal to find new treatments for neurodegenerative diseases (eg. Alzheimer's disease, Parkinson's disease, and tauopathies).

This is an exceptional opportunity on three levels because: 1) Dementia is one of the most critical challenges facing today's healthcare providers; 2) Data science has and continues to underpin many of our key scientific findings in the field; 3) Successful candidates will experience the scientific environment the UK's three leading universities and join the three ARUK DDIs that are a key part of their translational efforts in this disease area.

You are an expert research informatician and computational biologist with previous expertise in a breadth of 'omic data types. You are expert in the design, data acquisition for, and analysis of 'omic data sets and have advanced expertise in one or more of genetic, transcriptomic, proteomic, epigenetic or epidemiological data sets, for example. You will use these skills, whilst working with colleagues from a wide range of disciplines from across the ARUK DDA, for the study of targets and mechanisms relevant to neurodegenerative conditions. You have expertise in the statistical methodologies applied to analysis of data from the large 'omic data sets and are adept at conveying the biological significance of findings to scientists from other disciplines. You believe in the power of data science to create a paradigm shift in the way we understand disease and select the next generation of therapeutic targets and markers. This post will be embedded at Cambridge, and will collaborate with Namshik Han at the Milner Therapeutics Institute. You will form an integrated informatics team with your colleagues across the DDA, will regularly travel to the institutes and Oxford and UCL and will have the benefit of support from Prof Brian Marsden (Centre for Medicines Discovery, University of Oxford).

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

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Please ensure that you upload a covering letter and a 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.

The closing date for applications is: 25th June 2023

The interview date for the role is: To be confirmed

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SA36778 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

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