Centre for Tropical Medicine and Global Health, Li Ka Shing Centre for Health and Information Discovery, Big Data Institute, Old Road Campus, Headington, Oxford, OX3 7LF
We have an opportunity to recruit a Data Scientist to join the Infectious Diseases Data Observatory (IDDO), based at the Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine.
IDDO's vision is effective treatment and control of infectious diseases affecting the most vulnerable populations. Our mission is to reduce the impact of neglected and emerging infections by improving the evidence for their effective management through wide-scale collaboration and data reuse within the global infectious disease community.
You will take the lead in data analysis, methods development, and statistical modelling for a variety of projects relating to treatment optimization in infectious disease and global health, with a focus on improving the diagnosis and triage of patients with suspected severe malaria.
You will be responsible for advising and collaborating with PhD students and other staff at IDDO in the Science Team on a day-to-day basis. You will be tasked with developing novel methodologies for analysis and data collection in collaboration with members of the research team. You will be reporting research results to international collaborators and funding bodies; as well as at national and international research conferences. You will also be responsible for contributing to the production of scientific reports and publications for high-profile journals, including taking leadership in more specialized publications on statistical modelling or machine learning.
To be successful in this role, it is essential you hold a PhD/DPhil (or close to completion) in Statistics, Machine Learning, Physics, Mathematics, Computer Science, or another quantitative field along with demonstrable experience, ability, and practical success in solving quantitative problems. You will have proficiency in at least one programming language and an interest in collaborating with clinical and laboratory scientists. You will also have excellent and effective communication skills, both oral and written, for presenting research results clearly, to a broad audience.
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 Wellcome and ExxonMobil.
Only applications received before 12 midday on 16 September 2024 will be considered. Please quote 174485 on all correspondence.
Contact Person : Phoebe Astbury Vacancy ID : 174485 Contact Phone : 01865 287775 Closing Date & Time : 16-Sep-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected] Salary (£) : Grade 7: £36,024 - £44,263 with a discretionary range to £48,350 per annum