Table 2 Demographics of participants at the start of the 3-month fellowship (n = 143)
General | |
|---|---|
 Gender (female) | 72 (50%) |
 Median age (25th–75th percentile) | 29 (27–33) |
Region (Country) | |
 Americas (Argentina, Brazil, Costa Rica, Mexico, Peru, Venezuela) | 32 (22%) |
 Africa & Eastern Mediterranean (Angola, Cameroon, Egypt, Ethiopia, Ghana, Kenya, Namibia, Nigeria, South Africa, Tanzania, Uganda, Zambia, Zimbabwe) | 88 (62%) |
 Western Pacific (China, Malaysia, Philippines, Vietnam) | 10 (7%) |
 Europe (Russian Federation, Ukraine) | 13 (9%) |
Training level | |
 Master’s | 43 (30%) |
 PhD | 89 (62%) |
 Post-doctoral | 11 (8%) |
Professional statusa | |
 Student | 88 (62%) |
 Public sector (including academia) | 47 (33%) |
 Private sector (including pharma) | 8 (6%) |
 Medical doctor | 31 (22%) |
Fellowship research focusa | |
 Development of a specific methodology (e.g., laboratory protocol or standard operating procedure) | 111 (78%) |
 Training on planning or conduct of clinical trials | 34 (24%) |
 Access to laboratory equipment, infrastructure and expertise | 29 (20%) |
 Analysis of samples or data from the fellow’s own institution | 14 (10%) |
Fellowship scientific discipline | |
 Biological targets and pathways | 32 (22%) |
 Chemistry, formulation, or analytical sciences | 42 (29%) |
 Clinical research | 55 (39%) |
 Genetics and genomics | 14 (10%) |