The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.

The International Rescue Committee’s (IRC) vision is to leadthe humanitarian field by implementing high-impact, cost-effective programs forpeople affected by crisis and by using our learning and experience to shapepolicy and practice. IRC is the lead organization in the Ensuring QualityAccess and Learning (EQUAL) for Mothers and Newborns in Conflict-AffectedContexts Consortium funded through FCDO’s ‘Filling the Gaps in Evidence:Building Stronger And More Resilient Health Systems Research Programme Consortia(RPC)’ mechanism. The objective of this project is to produce rigorous,operationally relevant research and evidence to improve maternal and neonatalhealth in low-income, conflict-affected contexts. This project will produceevidence that is accessible to decision-makers influencing strategicinvestment, policy and programming to improve MNH, at the national and globallevel. This consultancy seeks to engage a qualified statistician to lead dataanalysis and capacity building for IRC’s maternal and newborn health researchin Somalia and South Sudan.

Background of the project 

South Sudan and Somalia have the highest maternal mortalityratios and newborn mortality rates in the world. To increase access tolife-saving services in areas where facility access is limited andinstitutional delivery rates are low, the IRC has been implementing a newcommunity-based maternal and newborn care program in these two contexts.  A population-level baseline survey (300-400respondents) was conducted in both locations in 2023/2024, and an endlinesurvey will be conducted in both locations in the Nov 25 – Jan 26timeframe. 

Scope of Work

We are seeking a statistician to conduct the following:

Review survey sampling strategy and develop a detailed dataanalysis plan (around Aug 25)Conduct virtual data analysis training for juniorresearchers in Somalia and South Sudan focusing on pre-post analysis usingStata (Dec 25 -Jan 26)Conduct analysis of endline survey data and pre-post surveyanalysis for both countries (Jan 2026)Generate analytical outputs including analysis dofiles, logfiles, summary tables and figures (Jan 2026)Produce a short narrative summary of analytical methods forinclusion in final reports/manuscripts (Jan 2026)

Note: Data collection, data cleaning, and report/manuscriptwriting will all be done separately by the existing research team.  

In addition to the tasks outlined above, the consultant maybe called upon to support other related research or analytical activitieswithin the Research and Innovation team, as mutually agreed upon.

Intellectual property for the data will sit with IRC, andthe consultant will be asked to sign a confidentiality agreement to ensureresearch data are protected.

We anticipate the work will take no longer than 30 workingdays total, and per donor requirement, the consultant will be required tosubmit a timesheet for hours worked. 

Deliverables

Data analysis planDo-files for the analysisLogs of the analysisRelevant tables/figures for data presentationShort write-up of the analytical method to include in finalreport/manuscripts

Payment will be made in tranches upon meeting ofdeliverables:

Deliverable set 1: Data analysis plan (Aug)Deliverable set 2: Delivery of data analysis trainingsessions and training materials (Dec/Jan)Deliverable set 3: Data outputs (do-files, results tablesand figures)  for country 1 (Jan)Deliverable set 4: Data outputs for country 2 (Jan)

Requirements:

Demonstrated experience / publication record ofpopulation-level survey data analysisAdvanced proficiency in StataPreferred: Demonstrated publication record of work on MNH-relatedtopics

Applicants from the Global South are stronglyencouraged. 

Data Disclosure

All data and information received for the purpose of thisassignment is to be treated confidentially and is only to be used in connectionwith the execution of these terms of reference. All intellectual propertyrights arising from the execution of these terms of reference are assigned tothe IRC. The contents of written material obtained and used in this assignmentmay not be disclosed to any third parties without the expressed advance writtenauthorization of the IRC.

IRC is an Equal Opportunities Employer. IRC considers allapplicants on the basis of merit without regard to race, sex, color, nationalorigin, religion, sexual orientation, age, marital status, veteran status ordisability.

Standard of Professional Conduct:The IRC and the IRC workers must adhere to the values and principles outlined in the IRC Way – our Code of Conduct. These are Integrity, Service, Accountability, and Equality.