Who we are
Our vision is a world free of preventable disease, in which everyone everywhere can reach their full potential. We were founded in 2002 with a £20m grant from the Bill & Melinda Gates Foundation, and started life at Imperial College London as the Schistosomiasis Control Initiative. Consistently ranked globally as one of the most cost-effective non-profit initiatives, we received significant funding from the UK Department of International Development, USAID, and philanthropic investors.
In 2019 we became an independent organisation, and the SCI Foundation now works across multiple sectors in numerous countries in Sub-Saharan Africa to deliver effective and robust health programmes that have a lasting impact.
What we do
Working in partnership with Governments, the SCI Foundation supports and facilitates public health programmes that reduce the impact of preventable diseases like schistosomiasis and soil-transmitted helminthiasis (STH).
We provide technical and financial support to Ministries of Health, in line with their own strategies and plans, to enhance sustainability and strengthen health systems within countries affected by these diseases. We work to scale up their government-implemented deworming programs by providing advisory support and conducting research and analysis on the outcomes.
To date, our team has supported up to 60% of all global schistosomiasis treatments being delivered annually and we are broadening our reach to coordinate with health programmes for other preventable diseases, as well as supporting disease prevention measures such as water, sanitation and hygiene and the management of the impacts of these diseases on individuals.
Who we are looking for
We are looking for two exceptional people to join our friendly and dynamic team within the MER: Biostats department, one as an Officer and the other as an Advisor. Together they will support the SCI Foundation in its next phase and supporting the SCI Foundation in the delivery of our mission.
Both positions will report into the Senior MER Advisor: Biostatistics and will have the opportunity to support colleagues across different teams and projects.
The successful candidates will be responsible for managing datasets generated during programmatic activities, applying statistical analyses to these datasets, and preparing reports. The datasets will largely relate to schistosomiasis and STH mapping surveys, as well as programmatic M&E activities, for example, studies to assess the impact of control programmes, and coverage evaluation surveys. The Advisor role is a more senior role and has additional responsibilities, such as assisting in the development of protocols for these activities (including sample size and power calculations), as well as contributing to improvements in the processes around data collection, management and analysis. Both roles will also have opportunities to contribute to other studies that SCIF undertakes and may require travel to partner countries to assist with data management, training or to provide statistical support.
To be considered for either role you will have previous experience in statistics, biostatistics, epidemiology, or a related quantitative discipline and will have a working knowledge of the statistical programming language R. You will be able to use your initiative and judgement to anticipate potential issues and solve problems, as well as manage your time effectively to meet changing work priorities. You will have good verbal and written communication skills including the ability to explain technical concepts to non-experts, and will be able to work as part of a multidisciplinary team.
Experience in data management, cleaning and analysis is essential for both roles. The MER Advisor will need prior experience in applying the essential skills to household surveys and epidemiological datasets, as well as knowledge and understanding of power and sample size calculations and, have proven experience in statistical aspect of study designs.
Please refer to the job description and person specification for each role to have further information on what is expected of the successful candidate in each role.
What it’s like to work at the SCI Foundation
We’re a team of people passionate about creating a world free of preventable disease. Everyone that works at the SCI Foundation, as well as our partners and supporters, shares these same values and beliefs:
- Equality: We are a small and dynamic team in which every staff member’s contribution is crucial and equally valued
- Inclusion: We are working towards a fairer world where no-one is left behind.
- Transparency: We believe that openness and transparency create trust and a culture of continuous improvement.
Day-to-day life at the SCI Foundation is fast-paced but fun. We place great importance and value on working respectfully within the team and in partnership with our partners globally. Whilst many of us travel abroad frequently, we regularly get together, whether to socialise in support of healthy working relationships, or more formally to benefit from one another’s skills, knowledge and experience.
As SCIF is a small but high impact organisation there is considerable potential to tailor your development to suit your interests and ambition, within the framework of progressing SCIF’s organisational goals and objectives.
How to apply
To apply, please submit an up-to-date CV and covering letter outlining your suitability for the role according to the job description and person specification.
Please include these first lines and your responses to your cover letter:
- Do you have the right to work in the UK? (Yes/No)
- Do you have a postgraduate degree, or equivalent experience, in one or more of the following: statistics, biostatistics, epidemiology, or a related quantitative discipline (Yes/No)
- Do you have working knowledge of the statistical programming language R? (Yes/No)
- Do you have experience in data cleaning & data analysis? (Yes/No, please give examples)
- Do you have experience of statistical aspects of study designs? (Yes/No please give examples)
- Do you have an understanding of power and sample size calculations? (Yes/No please give examples)
Interviews: w/c 30 November 2020. (Most likely Thursday 3 and Friday 4 December 2020)
DATA PROTECTION – By submitting an application you agree that SCI Foundation collects and manages the information that you provide. Your personal information will be used for recruitment purposes only. Your application will be treated with strict confidentiality.
SAFEGUARDING - Roles at SCIF may require interaction with children and vulnerable adults as well as maintaining confidential and sensitive information about them. The successful candidate will be required to apply for a criminal record check through a basic, standard or enhanced Disclosure and Barring Service (DBS) check. A criminal record will not necessarily bar you from working with us. That will depend on the nature of the role and the circumstances of your offences. A conditional offer of employment will only be made upon reception of 2 satisfactory written references and a satisfactory DBS result.
SCI Foundation is committed to diversity and equal opportunities for applicants and employees. SCI Foundation strives to ensure equal employment opportunities and equal access to employment and does not discriminate on the basis of race, gender, colour, national origin, religion, physical or mental ability, marital status and age. Applications will be treated with strict confidentiality.