Senior Officer, Model Frameworks – Global Health

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The Institute for Disease Modeling (IDM) at the Gates Foundation supports global efforts to eradicate infectious diseases and achieve permanent improvements in health. We develop, use, and share computational modeling tools, and promote quantitative decision-making. The IDM team is comprised of research scientists, software engineers, and strategic planning professionals.

The Institute for Disease Modeling (IDM) at the Gates Foundation is seeking a Senior Officer, Model Frameworks to build and improve the software and AI capabilities behind IDM’s disease modeling efforts. This role sits within the Model Frameworks team and reports to the Senior Manager, Model Frameworks. This work is critical to accelerating the evidence-to-policy lifecycle in low-resource settings by reducing the time researchers need to produce validated model results, and by holding supporting technology to scientific standards of validity and reproducibility.

• Technical Execution & AI Integration:
  Produce well-tested, maintainable code with strong use of CI/CD, code review, and modern quality practices. Use AI development tools to accelerate code development and improve quality, and share proven, best practice back to the team.
• Modeling Frameworks:
  Build, evaluate, and deploy AI-enabled modeling components with sound technical rigor, including data pipelines, context engineering, tool interfaces, evaluation harnesses, and guardrails. Work across IDM's modeling paradigms (agent-based, compartmental, statistical) to develop robust and reproducible framework capabilities.
• Autonomy & Delivery:
  Independently plan and execute work across concurrent projects, coordinating with teammates to keep deliverables on track with minimal supervision. Communicate proactively when timelines or priorities shift and escape risks with proposed solutions.
• Problem Solving:
  Structure open-ended modeling problems into tractable components, driving clarity for the team on where to start. Apply mathematical and AI/ML techniques creatively to solve complex modeling challenges and unblock peers when needed. Track emerging AI methods and modeling tools relevant to the team and bring insights into current projects.
• AI for Scientific Research:
  Design and build AI capabilities that refine how IDM researchers work, including summarization and synthesis of scientific literature, natural-language access to research data, structured extraction from unstructured sources, and agentic workflows that help automate research tasks. Hold a high bar for scientific credibility, leveraging traceable output and human review where results inform policy decisions.
• Collaboration & Partnership:
  Build strong working relationships with IDM/PST researchers and LMIC-based research partners to deliver solutions that accelerate research outcomes. Communicate clearly with both technical and research audiences, adapting to partner contexts and gaining buy-in for engineering approaches.
• Team…