Public Health and Displacement Tracking Matrix (DTM) Intern (Location: London)

Thematic focus: Working across both DTM’s and the Migration Health Divisions’ (MHD) portfolios undertaking public health analyses of IOM’s DTM data, which tracks and monitors displacement and population mobility as well as analytical frameworks (related to monitoring population movements in health emergencies)
Reporting directly
AKO Unit Lead (London) & DTM Lead Editor (London)
Overall supervision
Global DTM Coordinator (London)
Thematic supervision
Health Emergency Operations Officer - Migration Health Department (MHD)
Duty Station
Number of positions
Closing Date
Starting Date
As soon as possible
6 months with possibility of extension



Since 2004 the Displacement Tracking Matrix (DTM) is IOM’s main operational tool for tracking and monitoring the movements and the evolving needs of displaced populations. It has been systematically deployed in medium to large-scale humanitarian response operations in the last seven years, including in all Level 3 emergencies. During 2019 DTM was active in over 72 countries. To coordinate and support operations implemented by approximately 5,200 staff, the global DTM support team is comprised of 45 specialists across eight locations (Geneva, London, Bangkok, Nairobi, Dakar, Cairo, Vienna and The Hague). The Migration Health Division (MHD) oversees the Organization’s provision of migration health services globally. These services aim to meet the needs of Member States in managing health-related aspects of migration, and to promote evidence-based policies and holistic, preventive and curative health programmes which are beneficial, accessible, and equitable for mobile populations and host communities. IOM’s health response to humanitarian and public health emergencies aims to save lives, reduce morbidity and alle¬viate suffering, while upholding humanitarian principles and protect human dignity. Programming in this domain en¬compassses the various stages and typologies of emergencies, throughout all the phases of the mobility continuum.  Currently, there is more displacement data available than ever before. However, such data is only beginning to be leveraged at its maximum potential for the purpose of guiding public health responses as both a means of prevention, and response; before and during emergencies. In the context of public health/infectious disease hazards, it must be understood that migration is a social determinant of health, and throughout the migration process migrants are exposed to a unique set of sociocultural, economic and environmental factors that may increase their risk of exposure to negative health outcomes, including communicable diseases. This therefore needs to be well-understood within response efforts.  The main objective of this internship will be to assist IOM to further explore areas of public health analysis of IOM’s DTM data, which tracks and monitors the displacement and population mobility, as well as provide recommendations on how health programming can contribute to DTM exercises to strengthen health information, for the purpose of supporting health sector decision making during humanitarian response.  Located in the IOM London office, under direct supervision of the DTM Analytics, Knowledge and Output Quality (AKO) Unit Lead (London), DTM Lead Editor (London) and the Health Emergency Operations Officer (Geneva), and the overall/daily supervision of the Global DTM Coordinator (London), the successful candidate will integrate into the AKO unit.



Objective: Technical assistance will be provided to produce reports relevant to, and evaluate possible ways to analyse and use DTM data from a public health and epidemiological perspective. The role will also review DTM tools and datasets, and support the Global DTM Team on further examining how DTM exercises can benefit health partners and inform the wider health sector response.

Common to all interns in the AKO unit:

  • Provide support in analysis and interpretation of data as well as in review of DTM documents requiring remote assistance
  • Provide support in analysis and interpretation of data, as tasked by MHD and DTM units;
  • Facilitate the logistical organization of webinars in support of MHD and DTM units to ensure regular internal and external updates on human mobility as part of public health interventions;
  • If necessary, to provide updates on human mobility trends, changes and any other significant observations surrounding human mobility in the targeted countries;
  • Assist MHD and DTM units in the production and quality control of documents;
  • Coordinate with other units of the global DTM support team also in contact with relevant DTM and MHD units in order to ensure continuity of functional workflows;
  • Provide administrative and logistical support to the London team when needed

Thematic focus: Improvement and consolidation of DTM practice related to exploring areas of public health analysis of IOM’s DTM data,

  • Statistically analyze DTM datasets from a public health perspective and identify opportunities for use of DTM datasets by health sector partners, including both mobility tracking and flow monitoring
  • Identify relevant secondary data sources, and cross-analyse with DTM data to inform public health programming
  • Build upon existing DTM/MHD materials, and support the teams in producing documentation for global DTM preparedness, with specific emphasis on public health emergencies under MHD’s health, border and mobility management framework (HBMM)
  • Identify potential opportunities for joint MHD-DTM programming and provide support for the development of projects in relation to such initiatives
  • Assist in the refinement and application of IOM’s Population Mobility Mapping (PMM) methodology and associated tools for public health action, as well as identify good practices and provide recommendations for their improvement;
  • Support with any reporting activities related to displacement and health, such as supporting meetings and workshops.
  • Support IOM thematic research on displacement and health support in monitoring/quality control of data collected and analysis
  • Perform other duties as may be assigned throughout the internship.  



The incumbent is expected to demonstrate the following competencies:

Excellent research, writing, communication and statistical/analytical skills; ability to prepare clear and concise reports; Accountability; Client Orientation; Continuous Learning; Communication; Creativity and Initiative; Planning and Organizing; Professionalism -  displays mastery of subject matter; incorporates gender related needs, perspectives, concerns and promotes equal gender participation; Technological Awareness.


Strong and demonstrable knowledge and interest in migration, public health, , biostatistics, epidemiology, development and/or humanitarian issues; personal commitment, efficiency, flexibility; ability to work effectively and harmoniously in a team and with colleagues from varied cultures and professional backgrounds under tight deadlines.



  • Proficiency using Microsoft Office 365 (Excel, Word and PowerPoint)
  • Experience working with statistical software, such as Python, R, Statistical Package for the Social Science (SPSS) or STATA software


  • Experience using Adobe Suite (e.g. InDesign, Illustrator)
  • GIS software’s such as ArcGIS/QGIS



Master’s degree from an accredited academic institution in a field of study related to Public health, Epidemiology, Biostatistics, Geographical Information Science (GIS) or other relevant disciplines. Alternatively, a Bachelor’s degrees with 2 years of relevant working experience. 



RequiredExcellent communication skills in English (written and oral) AdvantageousKnowledge of French and/or additional UN language 


Interested candidates must submit updated CV and cover letter (in PDF format and only one file with your name and surname, adding portfolio/example of work) to adding Public Health and Displacement Tracking Matrix (DTM) Intern (Location: London)in the subject line, no later than Friday 20 March 2020. NOTE: Only shortlisted candidates will be contacted and incomplete applications or submitted in more than one file (CV+cover letter in PDF format) will not be considered