Location: | Oxford |
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Salary: | £34,982 to £40,855 with a discretionary range to £44,382 per annum (pro-rata) |
Hours: | Full Time, Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 14th February 2025 |
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Closes: | 14th March 2025 |
Job Ref: | 176550 |
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.
Only online applications received before 12.00 midday on 14th March will be considered. Interviews will be held as soon as possible thereafter.
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