Research Fellow in Data Science/Statistics
We are seeking to appoint a postdoctoral Research Fellow in Data Science to join a large international, interdisciplinary research project investigating antimicrobial resistance in East Africa. The HATUA consortium (Holistic Approach to Unravelling Antibiotic Resistance in East Africa) is an international collaboration between the UK, Kenya, Uganda, Tanzania and the US, funded by the National Institutes of Health Research (NIHR), and brings together expertise from medicine, microbiology, biology and social sciences. The purpose of the role will be to provide key data management support for the diverse data being collected during the fieldwork period, and to conduct statistical analysis to investigate the drivers of antimicrobial resistance. The successful post holder will be managing large scale linked quantitative medical and social science data, and would be required to perform statistical analysis to an advanced level. The background of the candidate will be doctoral training in a field involving large scale quantitative data analysis, including: epidemiology, medical statistics, biostatistics, applied mathematics, social statistics, quantitative geography or sociology.
This is an inter-disciplinary project, based in the School of Geography and Sustainable Development within the Population and Health Research Group (https://www.st-andrews.ac.uk/gsd/research/phrg/), but working closely across schools with colleagues in Schools of Medicine (See http://medicine.st-andrews.ac.uk/research/), Biology (see: https://synergy.st-andrews.ac.uk/research/) and the School of Mathematics and Statistics. They would also play a key role in the HATUA consortium by working alongside data analysts in East Africa, and be involved in capacity building activities. There would be the opportunity for international travel and collaboration with East Africa partners.
The School of Geography and Sustainable Development is working towards an Athena SWAN Bronze award and is fully committed to equality, diversity and inclusion. More information can be found at https://www.st-andrews.ac.uk/gsd/athenaswan/
Applications are particularly welcome from women (including trans women and non binary) and other groups who are underrepresented in science posts at the University.
Main Purpose of Role
The post of the Research Fellow is funded by the National Institute of Health Research (NIHR) HATUA consortium (Holistic Approach to Unravelling Antibiotic Resistance in East Africa). The project runs for three years 2018-2021 project and investigates the socio-biological drivers of antibiotic resistance in Kenya, Tanzania and Uganda. The post would be based in the School of Geography and Sustainable Development and will be closely linked with the School of Biology, the School of Medicine and the School of Mathematics and Statistics. The purpose of this post is to provide a key data management role within HATUA, managing large scale social science, medical and microbiological data and its linkage, and to work closely with PIs and data managers in East African countries. The second important purpose is to conduct statistical analysis on the linked dataset to investigate the drivers of antibiotic resistance, using a variety of approaches, to include Bayesian Network analysis. This latter part will be under close supervision of Dr Anne Smith, an expert in Bayesian networks based in the School of Biology. The postholder would also work closely with collaborators and external agencies disseminating the results and analyses. The successful candidate will have advanced skills in statistical analysis, coming from a background in applied mathematics or statistics, or computer science (for example biostatistics, social science statistics). They should also be experienced in manipulating and analyzing large datasets. The post holder will also participate in the collation of data and analysis, and the writing of publications. The successful candidate will also contribute to capacity building activities with collaborators.
Key Duties and Responsibilities
- Coordination and management of HATUA data: organising, checking and cleaning newly collected data, liaising with PIs and data managers in other countries
- Conduct statistical analysis on the linked dataset using a variety of techniques to include Bayesian network analysis (in conjunction with colleagues from the School of Biology)
- Liaise with academic partners within the HATUA project, including some international travel for meetings and workshops
- Engage in relevant training and professional development opportunities
- Engage in the dissemination of research results; i.e. manuscript publication, conference contributions
- Engage in the wider research activities of the Population and Health Research group in the School of Department of Geography and Sustainable Development, and the Infection group in the School of Medicine.
Special Requirements: Some international travel to East Africa may be required.
Please note that this job description is not exhaustive, and the role holder may be required to undertake other relevant duties commensurate with the grading of the post. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve.