Integrated Outbreak Analytics Cell Manager – Ebola Response Rosters

  • Short-Term
  • Various
  • Applications have closed

UNICEF

Since two years, countries in the ESA region have experienced an alarming increase in the number of new, or re-emerging humanitarian emergencies, including public health (including Ebola, Crimean Congo haemorrhagic fever, yellow fever, wild poliovirus, and Cholera), armed conflicts and natural disasters emergencies.

An outbreak of Sudan Ebola Virus (SDV) started in September 2022 and spread to 9 districts in Uganda, elevating the risk for cross border spread to neighboring countries (Tanzania, Rwanda, South-Sudan, Burundi, Kenya and DRCongo).

UNICEF ESAR has prioritized the critical need to support countries to rapidly scale up capacity to prevent, mitigate, and manage ongoing and anticipated emergencies as well as to enhance capacity for preparedness and response to these emergencies.

Purpose

The purpose of this external announcement is to attract suitable Integrated Outbreak Analytics Cell Manager candidates interested in working in any of the countries within UNICEF’s East and Southern Africa region to respond to Ebola outbreaks for the next 36 months. The countries within each region are listed on the following website: http://www.unicef.org/infobycountry/index.html.

How can you make a difference?

Key activities & duties

1.     Support the IOA MoH leadership to manage IOA Cell

1.1.    Bring together partners and collaborators, facilitate discussions, meetings and presentations as required

1.2.    Support on the identification of key IOA themes and studies over time

1.3.    When/if required support the development of an IOA workplan within the Ebola response strategy

1.4.    Support the tracking and development of IOA studies with different partners

1.5.    Work with MoH to ensure IOA cell can be sustainable as /if requested

2.       Provide technical guidance to MoH and partners on key questions for IOA

2.1.    to support understanding of outbreak dynamics and identify and support on appropriate methods to collect and analyse data to answer questions

2.2.    review routine data from response pillars (case, surveillance, ETU, and others); continuity of care (use of healthcare services) and context (community; healthcare worker) to monitor trends in outbreak, impacts of the outbreak and response and communities’ perceptions and practice over time to identify questions for further investigation

a.       provide training and technical guidance to MoH and partners on IOA approaches and methods (in person, online, tools etc)

3.     Support on data analytics (social epidemiological, statistics, R) based on data types and study questions

3.1.    Conduct routine analyses of social epidemiological data (qualitative, quantitative)

3.2.    Contribute to reflections around data analytics within other specialisations (data science, modelling, anthropology etc)

4.     Ensure that studies are robust and of quality through support to data collection (tools, methods) and analyses

4.1.    Regularly accompany and support MoH and field teams in different locations to review and adapt data collection methods/tools to ensure they are usable and provide quality data for analysis

5.     Support the monitoring of evidence use across response pillars and actors over time

5.1.    Contribute to systematic review of IOA presentations, use of evidence (co-development) and ensure that this is being documented and tracked by MoH

5.2.    Support all IOA partners to ensure that results are presented in ways which are usable and used and that recommendations are documented across all pillars, response actors and support the MoH to identify the best mechanisms for doing so.

To qualify as an advocate for every child you will have…

Education-

  • Required 

    Advanced (master’s degree) university qualification in relevant field (social epidemiology, epidemiology, operational social sciences health research, public health)

    Asset 

    • Additional relevant post-graduate courses that complement/supplement Integrated Outbreak Analytics and operational research/ evidence use .
    •  Working in data science (R, SPSS)

Work Experience- 

    • 8 years of progressively responsible professional work field-based (operational) experience at national and international levels working in humanitarian settings including in public health emergencies.
    • Demonstrated ability to synthesize complex scientific content for multiple audiences
    • Demonstrated ability to develop capacity building tools
    • The individual should be highly proficient in a range of PC/web applications, including but not limited to: MS Word, MS Excel, MS PowerPoint, NVivo/Atlas Ti, Epi Info
    • Strong organizational, planning, and analytical skills

Language Requirement:-

Fluency in verbal and written English or French (depending on the country office’s official language). Knowledge of another UN language or a local language is an asset.

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