We are looking for a Research Data Analyst to maximise the outputs and lessons learned from the VALIDATE Network’s immunology and vaccine-related data available from its collaborating members.
VALIDATE (“VAccine deveLopment for complex Intracellular neglecteD pAThogEns”) aims to bring together human and veterinary academics, industry partners, and governmental and non-governmental agencies around the world to accelerate progress towards developing vaccines. Our initial focus is on four poverty-related pathogens: Mycobacterium tuberculosis, which causes tuberculosis (TB), Mycobacterium leprae (leprosy), Leishmania spp, (leishmaniasis), and Burkholderia pseudomallei (melioidosis).
You will be responsible for engaging directly with researchers to understand and analyse the data being generated within the Network. You will be responsible for examining cross-pathogen immune responses, for example using available data sets from studies of immune correlates of risk of TB disease to build models to predict immune correlates of risk of leishmania, leprosy and melioidosis disease. You will examine cross-pathogen, cross-species, and cross-country immunological data to find synergies and differences, generating new findings and peer-reviewed journal publications and building models to predict vaccine efficacy. You will participate in identifying knowledge gaps and developing proposals to fund research projects to address these areas. You will encourage sharing of unpublished data via a Portal you will create and manage, and will be responsible for maximising outcomes from the data available.
You will possess a PhD in a biological field with modelling and/or bioinformatics experience; or in mathematics/epidemiology with experience in immunology and modelling. You will have postdoctoral experience. You must be proactive, have excellent communication skills, be a team-player, and be comfortable working closely with scientists and clinicians in diverse geographical locations who possess a wide range of skillsets and knowledge. It is expected that the work will involve a range of complex and original scientific work and requires a high degree of personal motivation. This is a new and exciting post, where you can have an impact on vaccine R&D for neglected diseases.
This is a full-time fixed-term appointment until 31 May 2020.
The closing date for applications is 12.00 noon on 4 December 2017.
Please note that the University of Oxford's retirement policy is changing. With effect from October 1 2017, all employees at Grade 8 and above will have a retirement age of 68, and all employees at Grades 6 and 7 will no longer have a set retirement age. Further details are available at: www.ox.ac.uk/about/jobs/preemploymentscreening.
Contact: HR Officer - Recruitment (01865 617971)