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Assistant or Associate Professor – Head of Data Science

Medical Research Council

Salary:  £46,704 to £64,817 per annum, inclusive.
Closing Date:  Monday 15 March 2021
Reference:  MRC-MRC-2021-02

The Medical Research Council Unit The Gambia is one of the largest scientific research centres in sub-Saharan Africa, having an international reputation for ground-breaking research into some of the leading causes of morbidity and mortality in the tropics. Our overall goal is to improve the health of people in developing countries by aiming for excellence in research, healthcare and training. Our research program spans basic scientific research, clinical studies, epidemiological studies and intervention trials, and translational research. The field and laboratory-based work draws on excellent research and clinical facilities and attracts international funding. 

We are planning to create, within the Research Services, a new cluster, i.e. Data Science, to accommodate the substantial growth of the Unit’s capacity in information technology and data management. With the increased complexity of data sources, bioinformatics research and the emergence of e-health and artificial intelligence, the Data Science cluster is the ideal platform to re-organise the established departments as the key components in a data science centre of excellence. 

The Data Science cluster will include Data Architecture/Management/Analytics, Statistics and Computational Bioinformatics, Applications development and e-Health, all supported by 1,000 CPU capacity High Performance Computing (HPC). The new Data Science cluster will translate the academic work into tangible e-health and AI public health applications. Indeed, the Unit plans to leverage the use of AI algorithms in the large amount of health imaging data it has obtained to provide for more accurate diagnosis of diseases like TB, pneumonia and rheumatic heart disease. Research on climate change and its impacts on health will increasingly depend on a highly complex computational data analysis infrastructure. 

The candidate must possess a doctoral degree in Statistics, Machine Learning, Mathematics, Computer Science or any other quantitative field and possess expertise in the core areas of data science, data mining, statistical modelling, data management and architecture, machine learning, web and mobile technologies and data strategies.

We offer the opportunity for a rich career experience and the chance of becoming part of a growing multinational and multicultural working environment in one of the most peaceful countries in sub-Saharan Africa. 

The salary is on the Academic Staff scale from £46,704 - £64,817 per annum.  The post is subject to LSHTM terms and conditions of service and is offered initially until 31 July 2024.  Annual leave entitlement is 30 working days per year. In addition, there are discretionary “Director’s Days”. Membership of the pension scheme is available. Free-furnished residential accommodation is provided and a package of overseas allowances is available. 

Applications should be made at and should include names and email contacts of 2 referees to be contacted if shortlisted.  Applications are accepted until 10pm on Monday 15 March 2021.  Queries regarding the application process may be addressed to

The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria.  Please provide one or more paragraphs addressing each criterion.   The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. Answers to any of the criteria such as “Please see attached CV” are unacceptable. If shortlisted but unable to attend the interview, it may not be possible to offer an alternative date.  

Further details:    Job Description    
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The London School of Hygiene & Tropical Medicine is committed to being an equal opportunities employer.



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