Nigeria Malaria Modelling Fellowship

Essential

• Master’s degree or higher in the field of public health, epidemiology (including environmental, parasite, and veterinary epidemiology and related studies), biostatistics, bioinformatics, and applied mathematics, or
• Specialised training in malaria and other infectious disease control programmes, especially Residents and Graduates from accredited Field Epidemiology training programmes.

Desirable

• Specialised training in quantitative data analysis. 

Essential

• A current affiliation to a Nigerian public institution working in one health – human health, animal health, and environment; and 
• At least 3 years’ professional experience.
• If successful, before enrolment, candidate’s institutions must be willing to officially release the candidates for scheduled physical training sessions that will take place in FCT, Abuja
  

Desirable

• Post-Docs and Junior Lecturers in Epidemiology and Biostatistics. 
• Public Health/Community Medicine Resident Doctors in Training. 
• Data management specialists from the Malaria programme, National Stop Transmission of Polio cohorts, Rapid Response Teams, or other emergency preparedness and response teams; and 
• Monitoring and Evaluation staff with expertise in quantitative data analysis, working in Ministries, Departments, and Agencies (MDAs) working across the one health ecosystem. 

• Proficiency in the use of Microsoft Excel. 
• Ability to communicate effectively in verbal and written English; and 
• Demonstrable problem-solving skills and ability to work effectively with minimal supervision. 

Female candidates are encouraged to apply and will receive additional support where it applies, including: 

• Women with children under 18 months will be eligible for added support for transportation and accommodation for their children and child minders for in-person trainings and field postings; and
• Women with children under 18 months will be provided with day care for young children during in-person trainings, in addition to the remote flexible learning hours. 

Every applicant that successfully meets the eligibility criteria will be required to pass baseline aptitude test on 24th February 2024 as requisite for admission to this fellowship.