Company Description
Epicentre is an organisation created by Médecins Sans Frontières (MSF) in 1986. We conduct field epidemiology, training, and research activities for MSF interventions. Our activities for populations in precarious situations are led from Uganda, Niger, and France, and through the programs of MSF and others. They mainly concern infectious diseases and undernutrition.
Epicentre has been conducting research activities in Niger since 2003. The country is experiencing a situation of recurrent food insecurity and a high prevalence of infectious diseases. In this context, Epicentre, in partnership with Médecins Sans Frontières sections and other local partners, as well as local authorities and international agencies, is developing research projects that meet the health needs of the population.
The Ugandan Research Center conducts research activities on public health issues relevant to Africa, according to GCPs (Good Clinical Practices) quality standards, in close collaboration with MSF, Mbarara University of Science & Technologies, and other stakeholders in health sector. Current projects, include clinical and vaccinal trials, focus on TB, HIV, central nervous system infections, and yellow fever.
Job Description
With the guidance of senior staff, assist in the development of the data management and reporting plan.
- Program ETL (extract, transform and load) R scripts and packages to automate the following tasks:
- Extract case report form (CRF) data from source ;
- Enforce quality and consistency standards ;
- Reconcile and merge data from disparate sources ;
- Transform data into tidy relational formats fit for analysis and visualization.
- Assist in the development of automated data reports using R-Markdown.
- Assist in the development of interactive monitoring dashboards using R Shiny.
- Document the technical details of your work Clearly to facilitate collaboration with other team members and ensure quality control.
- Act as a technical expert with the data entry teams in the field and be able to fulfill ad-hoc data requests from project stakeholders.
- Take analyses that have been previously completed in less flexible software packages (e.g., Excel) and implement them in R.
Qualifications
- Bachelor’s or master’s degree in computer science, statistics or related fields with a strong applied quantitative component.
- 1-5 years of related work experience. Work or internship experience in public health data science strongly preferred.
- Strong proficiency in R programming with the Tidyverse suite of packages (required), developing and testing R.
- packages (required), developing web-applications with R Shiny (preferred) and experience with SQL databases (preferred).
- Experience in collaborating on technical projects using distributed version control with git.
- Experience in working with and managing large data sets, including merging of disparate data sets, data cleaning and transformations, and providing preliminary descriptive statistics.
- Appreciation for the fundamentals of effective data visualization.
- Strong written and verbal communication skills.
- GitHub portfolio or other accessible code samples desired. ü Flexible working hours.
- Fluent in French and English.
How to apply
What you will get ?
- You will work with a multicultural team in the field of epidemiology and clinical research.
- You will evolve in the humanitarian environment.
- Your contributions and ideas will be valued and highly appreciated.
- You will participate in the life of the organization and your responsibilities will evolve over time.
- Fixed-term contract of 12 months, renewable, with healthcare coverage.
- Position to start in May 2024.
- Position based in Mbarara, with travel to Kampala and Paris if needed.
- Remuneration according to experience and MSF/Epicentre salary grid.
- The work location could be Uganda or Niger.
To apply :
Please send your application (CV + cover letter) no later than 24/03/2024 to :https://smrtr.io/jFm6V
Only shortlisted applicants will be contacted. If sufficient qualified applications have been received before the deadline, the advert may be removed.
Female candidates who meet the requirements are strongly encouraged to apply).
At Epicentre, we are committed to an inclusive culture that encourages and supports the diverse voices of our employees. We welcome applications from candidates regardless of gender, age, sexual orientation, nationality, ethnic origin, religion, beliefs, whether or not they have a disability, and all other diversity characteristics.
Epicentre pays very close attention to the protection of the personal data of its members, staff and people wanting to join the association. The data collected during your application will be processed in a fair and high-quality manner, only by the staff in charge of recruitment, wherever in the world they may be working for an MSF entity.
