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AI Specialist, Global Health and Wellbeing
Coefficient Giving. Investigate and recommend specific grants from a $100 million exploratory grantmaking budget .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong quantitative ability and research skills to evaluate grantmaking strategies, with a focus on AI's impact on global health and wellbeing. Capable of synthesizing complex information and communicating findings effectively to senior leadership.
Highest-signal resume keywords
Quantitative AnalysisGrant EvaluationResearch MethodologyWritten CommunicationAI and Global Health
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Back-of-the-Envelope CalculationsData SynthesisStatistical AnalysisModelingDesk Research
Soft Skills
Strong Listening AbilityPragmatismEpistemic JudgmentFlexibilityPrioritization
Certifications & Qualifications
Master’s DegreePhD
Industry Keywords
GrantmakingPublic HealthAISocial ScienceInternational Development
About the role
Key responsibilities & impact- Investigate and recommend specific grants from a $100 million exploratory grantmaking budget
- Conduct desk research to assess potential strategies
- Build back-of-the-envelope models estimating social returns and grant cost-effectiveness
- Interview domain experts and work with potential grantees to answer key questions
- Synthesize conclusions and recommendations in writing for senior leadership
- Rigorously evaluate and synthesize academic evidence relevant to grantmaking
- Help set strategy for AI and global health and wellbeing grantmaking
- Identify promising opportunities and propose evaluation approaches
- Own grants that are ambiguous or novel, depending on role emphasis
- Support grants addressing serious risks from transformative AI and scaling AI-enabled health and economic solutions
Requirements
What you’ll need- At least three years of relevant professional experience or equivalent experience in academia
- Interest in AI’s implications for global health and wellbeing
- Views on how AI could change health and economic outcomes in low- and middle-income countries
- Strong quantitative ability, including back-of-the-envelope calculations
- Pragmatism and ability to make and justify reasonable estimates with limited data
- Ability to prioritize important questions and make concrete conclusions
- Strong written communication and reasoning transparency
- Strong listening ability and epistemic judgment
- Ability to interview academics, policymakers, and practitioners in unfamiliar areas
- Comfort with opportunity costs and prioritization
- Flexibility to work across a range of topics
- Research Fellow candidates typically have a master’s or PhD in a quantitative discipline related to social science or public health
- Relevant backgrounds may include policy research, strategy consulting, academia, social science, public health, AI, or international development
- Willingness to work occasional flexible calls across U.S. and European time zones
- Candidates must have or obtain appropriate work authorization for their location; U.S. work authorization sponsorship may be considered
Benefits
Comp & perks- Unconditional 401(k) grant of $24,500
- Excellent health insurance; 100% of premiums covered within the U.S. for employees and eligible dependents
- Employer-funded Health Reimbursement Arrangement for certain other personal health expenses
- Dental, vision, and life insurance for employees and their families
- Four weeks of PTO recommended per year
- Four months of fully paid family leave
- Generous and flexible expense policy covering ergonomic equipment, software, and other services
- Productivity benefit for items that enhance productivity
- Continual learning policy with professional development expenses covered
- Remote workspace outside the home or access to a Coefficient Giving co-working hub
- Cash equivalents of benefits that cannot be offered to international hires, where applicable
- Potential eligibility for public service loan forgiveness programs for U.S.-based research staff