University of Abuja - Established by an Act of the Federal Government in 1988, University of Abuja is a dual- mode University in Nigeria with great prospects. The University has twelve (12) Faculties, a College of Health Sciences, a Centre for Distance Learning and Continuing Education (CDL&CE), Institute of Education, among others.
Applications are invited from interested and suitably qualified candidates to fill the position below:
Job Title: Postdoctoral Research Fellow in Spatial Epidemiology
Location: Abuja
Employment Type: Full-time
Position Overview
The University of Abuja seeks an excellent Postdoctoral Research Fellow with expertise in disease mapping and epidemiology to join the PACTS Consortium. This is a fulltime position, funded for 24 months and based at the University of Abuja.
The successful candidate will be expected to start work in May 2024.
Job Description
This is an exceptional opportunity for an ambitious and highly skilled postdoctoral researcher to work on epidemiological data collected with standardised protocols in three SubSaharan African countries: Ghana, Nigeria and Zambia.
The post is part of a Global Health Research Group (GHRG) consortium, funded by the UK National Institute for Health & Care Research (NIHR) and coled by Professor Imelda Bates, Liverpool School of Medicine (UK), and Professor Obiageli Nnodu, University of Abuja (Nigeria).
The focus of the GHRG is on patientcentred sickle cell disease (SCD) management in sub Saharan Africa (SSA).
The overall aims of this project are i) to improve wellbeing and health outcomes for SCD patients in SSA through earlier and improved detection of SCD and optimised implementation of known evidencebased clinical interventions, using a patientcentred approach; and ii) to enhance individual and institutional capacity to conduct and manage high quality implementation research to overcome barriers to optimising SCD care, and improve public knowledge about SCD
The specific role of this post is to explore the barriers faced by SCD patients in accessing care by mapping and analysing data collected through Red Cap questionnaires in the three countries.
Geography is likely to be an important element, alongside socio economic and cultural barriers.
More specifically, the successful applicant will use and expand existing list of health facilities and use GIS data to geolocate all health facilities (including those that provide blood transfusions) within catchment areas of the teaching hospitals in Abuja, Kumasi and Lusaka.
Using the questionnaires, they will then document and model geospatial factors affecting participating communities' physical access to SCD care (e.g. distance from health facilities and blood transfusion facilities, and from suppliers of penicillin, and hydroxyurea).
This work will require a collaborative approach with researchers based in the three partner countries as they have expert local knowledge of context specific characteristics.
The work will be conducted under the supervision of Dr Frédéric B. Piel (Imperial College London, UK) and in collaboration with researchers from the Liverpool School of Medicine (Prof Imelda Bates); the University of Abuja, Nigeria (Prof Obiageli Nnodu); the Kwame Nkrumah University of Science and Technology; School of Medicine and Dentistry, Kumasi, Ghana (Prof Alex OseiAkoto); the University of Zambia, School of Medicine (UNZA SOM)/University Teaching Hospitals (Dr Catherine Chunda-Liyoka); and Syracuse University, USA (Dr Bernard Appiah).
Responsibilities
Checking, processing and analysing anonymised data collected in the three partner countries
Conduct original research in the areas of disease mapping and epidemiology to help better understand barriers to care for sickle cell disease
Collaborate with faculty and researchers on PACTS and related projects
Comply with strict data governance requirements associated with the project
Analyse and interpret research findings
Travel to the UK for further training and work with UK PACTS researchers
Contribute to build capacity in mapping and epidemiology in Nigeria, Ghana, Zambia and beyond
Contribute to annual reports required by the funder of the study
Prepare and publish research papers in reputable journals
Any other specific responsibilities.
Qualifications
Ph.D in Epidemiology, Data Analytics, Statistics or a related quantitative discipline.
Strong background in quantitative analysis.
Demonstrated ability to work independently and collaboratively.
Excellent written and verbal communication skills.
Rigorous and paying high attention to details
In addition to the above, previous experience with the following would be useful:
GIS (e.g. ArcGIS, QGIS)
SPSS or Stata
Ror Python
RedCap
Endnote.
Application Closing Date
Monday; 22nd April, 2024.
How to Apply
Interested and qualified candidates should send their Cover Letter, CV, a Personal statement (explaining why they are suitable for this post), and contact information for three references to: [email protected] using the Job Title as the subject of the mail.
Note: Interviews are expected to be held in the first half of May 2024.