Research Scientist - Gender & AI

Job description

Application Open:

Full-Time

MBZUAI is seeking a Gender and AI Research Scientist responsible

for embedding gender equity, inclusion, and social impact

considerations across all Institute for Agriculture & AI (IAAI)

research, technical development, and deployment activities. The

role will provide subject-matter leadership on gender-responsive AI

research, advisory system design, and evidence-base...d interventions,

with a particular focus on improving outcomes for women smallholder

farmers and marginalized groups through AI-enabled agricultural

solutions.

Key Responsibilities

Gender Strategy and Institutional Integration

• Develop and lead the Institute’s gender and inclusion strategy,

ensuring systematic integration into research agendas, governance

frameworks, operational guidelines, and program design.

• Embed gender considerations into standard operating procedures,

ethical guidelines, and institutional practices across all IAAI

activities.

Gender-Responsive Research and AI Design

• Advise AI researchers, data scientists, and agronomy experts on

gender-sensitive research design, data collection, annotation

practices, model evaluation, and bias mitigation.

• Support the development of AI models and advisory systems that

account for gendered access, constraints, and decision-making

contexts.

Women-Focused Advisory and Interventions

• Design and support targeted interventions that improve the

accessibility, relevance, and effectiveness of AI-enabled advisory

services for women smallholder farmers.

• Ensure advisory content, delivery channels, and interaction

modalities reflect women lived realities, constraints, and

information needs.

Monitoring, Evaluation, and Learning (MEL) Integration

• Integrate gender-disaggregated indicators into MEL frameworks

and research protocols.

• Analyze adoption, usage, and outcome data to identify gender

gaps and inform adaptive improvements to research and deployment

strategies.

Capacity Building and Partnerships

• Provide technical guidance and capacity building to

governments, partners, and innovators on gender-responsive AI and

digital agricultural advisory systems.

• Support inclusive pilot design, implementation, and scale-up

strategies in collaboration with national and international

partners

Academic Qualifications Required

• Master’s degree in Computer Science, Computational Science,

Data Science, Applied Mathematics, or a related field.

• PhD or equivalent applied research experience will be

preferred.

Professional Experience Required

Essential:

• Minimum of ten (10) years of progressive experience in

technical assistance, program implementation, or adoption-focused

roles within gender equity & inclusion, development, or

innovation ecosystems.

• Demonstrated experience working with governments and

public-sector institutions, particularly in low- and middle-income

countries.

• Experience leading multidisciplinary teams and managing

complex, multi-country initiatives.

Preferred:

• Exposure to policy engagement, institutional reform, or

national advisory system strengthening.

• Experience working within international research or development

organizations.

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