Data Scientist

**About the role **



We have an exciting opportunity to join the Oxford Vaccine Group in the
Department of Paediatrics as our Statistician/ Data Scientist.





You will play an important role in applying cutting-edge methodologies to
analyse data generated from clinical trials and observational studies.





This position offers an excellent training opportunity, with assignments
tailored to your skills and research interests. Projects may include designing
and analysing clinical trials, modelling large datasets from epidemiological
studies, or conducting bioinformatic analyses using omics data. You will be
responsible for day-to-day data analysis and contributing to relevant sections
of manuscripts.





You will be working in a growing department within the Medical Sciences
Division. The Department of Paediatrics is a world leader in child health
research and hosts internationally renowned research programmes in drug
development, gastroenterology, haematology, HIV, immunology, neuroimaging,
neuromuscular diseases and vaccinology.





Specifically, you will join the Oxford Vaccine Group Quantitative Research
team comprising more than 15 researchers with expertise in statistics,
epidemiology, and bioinformatics. The quantitative research team is dedicated
to advancing global health through innovative quantitative methods. We work at
the forefront of clinical trials and observational studies, collaborating with
leading national and international organisations to shape vaccine strategies
and public health policies. Our team played a pivotal role in the design and
analysis of the landmark ChAdOx1 nCoV-19 (AZD1222) trial, contributing to its
World Health Organization Emergency Use Listing (EUL) and emergency
authorisations worldwide. If you are passionate about conducting high-impact
research that drives meaningful change, we encourage you to apply.





**_We have multiple vacancies available and invite you to apply for the
position that best matches your skills and interests. Should the hiring panel
believe that your skills and experience better align with an alternative
vacancy, your application may be considered for an alternative role_.**





This position is offered full-time on a fixed-term contract initially for two
years with the possibility to extend provided further external funding is
available. Part-time applications may be considered (with a minimum of 22.5
weekly hours).





**About the department **



The Department of Paediatrics holds the Athena Swan Gold Award (a national
gender equality charter) acknowledging the innovative policies and practices
developed across the department. We encourage staff to develop their skills by
offering all staff ten paid days of professional development each year and
have a policy where staff can apply to receive funding for further training
courses to support their professional development. For staff on work visas, we
also offer financial assistance towards visa renewal fees.





Please visit our website to find out more about the Department.





**About you **



You will hold a post-graduate degree in a numerical discipline, such as
Bioinformatics, Statistics, Computational Biology, Epidemiology, or
Mathematics.





You will have highly effective verbal and written communication skills with
all levels of staff and an ability to operate effectively in a demanding and
collaborative research environment.





**Application Process **



You will be required to upload a CV and Supporting Statement as part of your
online application. The Supporting Statement should include a cover letter and
should also clearly describe how you meet each of the selection criteria
listed in the job description. Click here for information and advice on
writing an effective Supporting Statement.





To discuss the post in more detail, please contact Prof Xinxue Liu, the Head
of Statistics in Clinical Trials using the contact details below.





Only online applications received before 12.00 midday on 14th March will be
considered. Interviews will be held as soon as possible thereafter.