Postdoctoral Research Scientist in Statistical Disease Modelling

We have an exciting opportunity to recruit a Postdoctoral Research Scientist
in Statistical Disease Modelling to join the experienced multidisciplinary
PRESTO team at the Pandemic Sciences Institute, Nuffield Department of
Medicine, to make a difference in pandemic preparedness.





The PRESTO study is funded by the Coalition for Epidemic Preparedness
Innovations (CEPI). It aims to simulate outbreaks of epidemic versions of
CEPI’s priority pathogens to develop and pre-file protocols for phase III
vaccine trials or real-world efficacy studies before an outbreak occurs.





You will be responsible for testing hypotheses and analysing data from various
public and confidential sources, reviewing and refining working hypotheses.
You will build a modelling framework for vaccine trial simulations, and
develop and adopt statistical analysis methods, simulation methods, and
computer code for use in the project. You will be performing analyses,
including the active management of programs on high-performance clusters. You
will be tasked with collaborating in the preparation of scientific reports and
journal articles and presenting papers and posters at project workshops and
international conferences. You will also be responsible for actively managing
collaboration with colleagues working on the projects, both within the
Pathogen Dynamics group at Oxford and more broadly.





To be successful in this role, you will hold a PhD/DPhil (or close to
completion) in applied mathematics, statistics, theoretical physics,
quantitative biology, or another relevant and related subject along with
sufficient specialist knowledge in infectious disease modelling, epidemiology,
or simulation science to work within established research programs. You will
have excellent communication skills, including the ability to write for
publication, present research proposals and results, and represent the
research group at meetings. You will be able to independently plan and manage
a research project, including a research budget as well as have the ability to
work on a collaborative project with multiple investigators.





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 2 years and is
funded by CEPI.





Only applications received before 12 midday on 16 October 2024 will be
considered. Please quote **174660** on all correspondence.