PATH

Non-profit + 1 more

Data Analytics Fellow, Malaria Control and Elimination Partnership in Africa (MACEPA)

Closed for applications
Job details

Contract Type

Description

Required Qualifications and Experience

  • Master’s degree in public health, epidemiology, health-related data science or similar field preferred, plus at least one year of relevant quantitative experience.

  • Experience in data management, cleaning, analysis, mapping, and visualization (ideally in R).

  • Demonstrated oral and written communications skills, including report/paper writing and editing.

  • Experience preparing and delivering presentations.

  • Excellent organization, time management, attention to detail, ability to appropriately prioritize competing tasks, manage shifting priorities, and meet deadlines.

  • Ability to work in a collaborative environment and as part of a cross-disciplinary team.

  • Ability to work independently when required – including undergoing trainings, leading interactions with NMPs, independent problem solving.


Responsibilities
  • Support NMP and partners to assemble and manage data repositories.

  • Design and implement evaluations of routine surveillance, intervention, and commodity data to inform decision-making.

  • Produce monthly reports describing the malaria situation based on the analyses of routine data and other relevant datasets.

  • Develop dashboards for the visualization of routine data.

  • Build strong relationships with the NMP and respond to requests for data investigations and analyses relevant to key programmatic issues.

  • Contribute to and support the facilitation of data review meetings with the NMP.

  • Undertake structured training across a range of core areas including advanced data analytics, malaria epidemiology, presentation and report writing.

  • Deliver capacity strengthening in data analytics training to the NMP and local partners.

  • Support data aspects of Sub-National Tailoring (SNT) including assembling, cleaning, processing and visualizing data, and contributing to SNT meetings.

  • Maintain regular communication with US-based data analysis team, data analytics fellow’s cohort, and MACEPA in-country teams.


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