The Ugandan Jobline

Job Title:   Data Manager / Programmer (M/F)

Organisation: Epicentre

Duty Station:  Mbarara, Uganda

About US:

Epicentre is an organization 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. The Uganda research centre is in the heart of Mbarara University of Science and Technology (MUST) and Mbarara Regional Referral Hospital (MRRH), Epicentre has been conducting clinical research work for more than 20 years.

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.

Key Duties and Responsibilities:

• 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, Skills and Experience:

• The applicant must hold a 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.
• 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.

How to Apply:

All candidates are encouraged to send their applications (CV + cover letter) online at the link below.

Click Here

Deadline: 24th March 2024

NB: 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).

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