AI Specialist, Global Health and Wellbeing

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🕒 vor 12 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $180.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 Künstliche Intelligenz

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Coefficient Giving

51 - 200 Mitarbeiter

Gegründet 2014

🤲 Wohltätigkeit

🤝 Non-Profit

🔬 Wissenschaft

Charity • Non-profit • Science

Coefficient Giving ist ein philanthropischer Geldgeber und Berater, der mit Spendern zusammenarbeitet, um den philanthropischen Einfluss zu vervielfachen. Seit 2014 wurden über 5 Milliarden US-Dollar an Zuschüssen vergeben. Es verwaltet ein Portfolio zielgerichteter Fonds in Bereichen wie globale Gesundheit und Wohlbefinden, Biosicherheit und Pandemievorbereitung, Tierschutz in der Landwirtschaft, Eliminierung von Bleivergiftung, KI-Sicherheit und Governance, Wissenschaft und globale Gesundheitsforschung & Entwicklung sowie globale katastrophale Risiken. Das Unternehmen führt umfassende Forschung und Grantmaking durch, um wirkungsvolle Projekte zu identifizieren und Forschung, politische Maßnahmen und Interventionen zu beschleunigen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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