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International Consultant – In Silico Modelling for Malaria Policy Decision Support

@ Project HOPE
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Addis Ababa, /, Ethiopia
OnsiteContract
Responsibilities:model development, cost analysis, policy translation
Requirements Summary:PhD in relevant field; minimum 15 years infectious disease modeling; strong R/Python skills; LMIC experience; willingness to travel to Ethiopia.
Technical Tools Mentioned:R, Python
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Job Description

International Consultant – In Silico Modelling for Malaria Policy Decision Support, Global Health

Location:
Ethiopia

 

SCOPE OF WORK

 

DEPARTMENT: Program / Global Health 

PROGRAM:   Malaria Policy Decision Support Initiative (Phase 1)

POSITION:   International Consultant – In Silico Modelling for Malaria Policy Decision Support

POINT OF CONTACT:   Senior Director of Programs-Ethiopia / Principal Investigator / Program Manager

 

Project HOPE is an international NGO of more than 1,000 engaged employees and hundreds of volunteers who work in over 25 countries, responding to the world’s most pressing global health challenges. Throughout our 60-year legacy, Project HOPE has treated millions of patients and provided more than $3 billion worth of medicines to local health care organizations around the world. We have helped build hundreds of health programs from the ground up and responded to humanitarian crises worldwide.


Code of Conduct 

It is our shared responsibility and obligation to treat each other with respect, take affirmative steps to prevent matters involving Sexual Exploitation & Abuse and Trafficking in Persons, and to disclose all potential and actual violations of our Code of Conduct, which may include Conflicts of Interest, Fraud, Corruption, Discrimination or Harassment.  Together we can reinforce a culture of respect, integrity, accountability and transparency.


PURPOSE:   To provide specialized expertise in in silico mathematical modelling to assess the epidemiological impact, feasibility, and cost-effectiveness of the R21/Matrix M™ malaria vaccine in Ethiopia. The consultancy will generate robust, context-specific evidence across diverse transmission settings and intervention scenarios, including the integration of vaccination with existing malaria control strategies. The work will support policy-ready decision-making by translating complex model outputs into actionable insights on where, when, and how interventions should be deployed and scaled. Additionally, the findings will inform the design of subsequent real-world effectiveness studies and contribute to strengthening the evidence base for national malaria control and investment planning. This position is contingent upon funding availability and final award.

 

SPECIFIC OBJECTIVES:

  1. Develop and apply an Ethiopia-specific in silico malaria transmission model incorporating vaccination and other interventions. 
  2. Integrate costing and cost-effectiveness analysis into the modeling platform to inform prioritization and investment decisions. 
  3. Simulate policy-relevant intervention scenarios and generate stratified results across epidemiological settings. 
  4. Translate model outputs into actionable policy recommendations and supports the design of subsequent real-world effectiveness studies.

DELIVERABLES:

  1. Functional in silico malaria modelling platform tailored to Ethiopia
  2. Modelling and cost-effectiveness analysis report (including ICERs and budget impact)
  3. Scenario analyses with visualizations and policy-relevant insights
  4. Inputs into policy options memorandum and Phase 1 decision gate documentation

 

PAYMENT TERMS BASED ON MILESTONES / COMPLETED OBJECTIVES:

  1. Submission and approval of model design, framework, and parameterization approach – 20%
  2. Delivery of preliminary modeling results and scenario analyses -30 %
  3. Submission of final modeling and cost-effectiveness report -30%
  4. Contribution to final policy recommendations and decision gate outputs-20%

POSITION REQUIREMENTS:

  1. Education: PhD in Infectious Disease Epidemiology, Biostatistics, Mathematical Modeling, Data Science, Health Economics, or related field
  2. Experience level: Minimum 15 years of experience in infectious disease modeling (malaria strongly preferred), including policy and intervention modeling 
  3. Skill requirement/s: Strong programming skills (R or Python); expertise in mathematical modeling, cost-effectiveness analysis, and data integration 
  4. Specific experience in: 
  • Modeling infectious disease interventions and policy scenarios 
  • Working in LMIC settings (Ethiopia experience desirable) 
  • Application of AI-based methods for disease modeling and simulation is desirable
  • Stakeholder engagement and translation of technical findings into policy insights 
  • Willingness to travel to Ethiopia for consultations and dissemination