The UCL Great Ormond Street Institute of Child Health invites applications for a Research Fellow position located in London. The role focuses on reducing preventable newborn mortality through the Neotree digital learning health system. The successful candidate will contribute to quantitative analysis, dataset curation, and optimization of clinical algorithms using statistical modeling and potentially machine learning.
The position is funded for two years initially, offering a salary range of £42,099 – £45,521 per annum.
OPPORTUNITY AT A GLANCE:
| Type | Fellowship |
| Deadline | 19 February, 2024 |
| Location | United Kingdom |
| Eligible Countries | International Students (All Countries) |
| Number of Award | NA |
| Value of Award | Full Scholarship |
| Duration of Award | NA |
| Eligible Field of Study | —— |
Description For 2024 Fellowship at UCL School of Life & Medical Sciences
The Neotree digital learning health system aims to standardize newborn care in low-resource settings. The Research Fellow will contribute to the quantitative analysis of data collected through Neotree, manage existing datasets, and provide training support to in-country partners. Key research priorities include tracking the impact of Neotree on key outcomes and optimizing clinical algorithms. The position is funded for two years, with a salary range of £42,099 – £45,521 per annum.
Eligibility For 2024 Fellowship at UCL School of Life & Medical Sciences
Candidates with a background in epidemiology, health informatics, or machine learning, holding a PhD in one of these areas, are invited to apply. Experience with large datasets and advanced skills in at least one statistical package (e.g., R) are required.
Required Documents For 2024 Fellowship at UCL School of Life & Medical Sciences
- Comprehensive CV
- Personal Statement addressing essential and desirable criteria
- No photograph required
How to Apply For 2024 Fellowship at UCL School of Life & Medical Sciences
- Access the full job description and person specification here.
- Use the personal statement section to address each essential and desirable criterion.
- For queries about the role, contact Professor Michelle Heys at m.heys@ucl.ac.uk.
- For application assistance or accessibility needs, contact ich.hr@ucl.ac.uk.
Source: https://www.ucl.ac.uk/