Pandemic Sciences Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF
We are seeking to appoint a Postdoctoral Researcher to build new methods and frameworks for understanding and predicting the spread of infectious disease using serologic and virologic data.
Individual-level, quantitative biomarker data, such as antibody titers and viral loads, are now routinely collected at scale. Our work has shown that these data can be analysed at a population level to estimate epidemic trends, inform testing strategies for outbreak management, and reconstruct individual- level immune profiles. In this project, you will conduct research to better understand how within-host and epidemiological factors, choice of diagnostic test and sampling strategy affect the interpretation of biomarker data collected through routine testing.
You will be responsible for contributing to research projects in the field of infectious disease epidemiology and mathematical modelling. You will design, adapt and implement models, statistical methods, and simulations for analysing serologic and virologic data, as well as stay up to date with the latest advancements and publications in the field and engage in regular scientific discussions with the team. You will manage and curate sensitive datasets of individual-level biomarker data, as well as lead and contribute to the production of scientific publications and submit presentations to international conferences.
It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. infectious disease epidemiology, biostatistics, mathematical biology etc). You will be proficient with the statistical programming language R (or a related programming language such as Python or Julia), and you will have a track record of developing and sharing analytical methods for general use. You will have excellent organizational skills for time management, progress reports and completing tasks to agreed deadlines, and you will have demonstrable independence, initiative, and willingness to work towards a common goal.
Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.
This position is offered full time on a fixed term contract for 30 months and is funded by the Wellcome Trust.
Interviews are to be held on 15 December 2023.
Only applications received before 12 midday on 4 December 2023 will be considered. Please quote 169094 on all correspondence.
Contact Person : Phoebe Astbury Vacancy ID : 169094 Contact Phone : 01865 287775 Closing Date & Time : 04-Dec-2023 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected] Salary (£) : Grade 7: Salary in range £36,024 - £44,263 per annum