Monitoring, Evaluation & Learning Evidence Scientist

MBZUAI
Anywhere
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Experience: 8-10 yearsEducation: mastersSkills: ["Evidence-based decision-making","Data analysis","Stakeholder collaboration","Adaptive learning"]

Design and lead monitoring, evaluation, and learning (MEL) frameworks for all IAAI activities, including theories of change, results frameworks, and impact indicators. Build rigorous quantitative and qualitative evaluation methods to measure adoption, usage, outcomes, and real-world impact. Turn findings into learning loops with technical teams and leadership, integrate MEL into research and deployment, and produce evidence reports, dashboards, and knowledge products for decision-makers.

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MBZUAI
MBZUAI
7 months ago

Monitoring, Evaluation & Learning Evidence Scientist

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Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design and lead monitoring, evaluation, and learning (MEL) frameworks for all IAAI activities, including theories of change, results frameworks, and impact indicators. Build rigorous quantitative and qualitative evaluation methods to measure adoption, usage, outcomes, and real-world impact. Turn findings into learning loops with technical teams and leadership, integrate MEL into research and deployment, and produce evidence reports, dashboards, and knowledge products for decision-makers.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and lead MEL strategy, theories of change, results frameworks, and performance indicators aligned to IAAI’s mission.
  • •Implement evaluation methodologies to measure adoption, usage, outcomes, and impact of AI-enabled advisory systems.
  • •Manage evidence generation workflows: data collection, validation, analysis, and synthesis to maintain credibility and quality.
  • •Facilitate learning loops and reflection sessions to support adaptive management and continuous improvement.
  • •Produce evaluation reports, learning briefs, dashboards, and evidence products for leadership, governments, donors, and partners.

Key Requirements

  • •Lead the Institute’s monitoring, evaluation, and learning (MEL) strategy aligned with IAAI’s mission and international best practices.
  • •Develop and maintain theories of change, results frameworks, and performance indicators for both technical performance and real-world impact.
  • •Design and implement quantitative and qualitative methodologies to assess adoption, usage, outcomes, and impact.
  • •Oversee data collection, validation, analysis, and synthesis to ensure high-quality, credible evidence and accountability.
  • •Use learning loops to translate MEL findings into actionable insights and support adaptive management and inclusive equity indicators.
Experience:8-10 yearsImpact evaluationDevelopment programsInnovationAI-enabled programsMulti-country implementation
Education:Master's
Skills:Evidence-based decision-makingData analysisStakeholder collaborationAdaptive learning
Tech Stack:AIData scienceImpact evaluation

Company Brief

MBZUAI
Mohamed bin Zayed University of Artificial Intelligence is a graduate-level research university in Abu Dhabi focused on AI education, research, and industry collaboration. It offers advanced programs in machine learning, computer vision, natural language processing, and related fields.
Industry: Higher Education
Company Size: Large (251 to 1,000 employees)
Growth: Government & Public Sector
Funding: Government Funded
Headquarters: Abu Dhabi, United Arab Emirates
Founded: 2019
WebsiteLinkedIn