Multiple roles in AI x Global Health and Wellbeing

Coefficient Giving

WorldwideFully remoteFull TimeMid LevelOperations & Administration
USD 180,000+ a yearPosted 5h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 5 hours ago · apply link checked 5 hours ago

About the role

Responsibilities

  • Investigate and recommend specific grants
  • Conduct desk research to assess potential strategies
  • Build back-of-the-envelope models to estimate social returns and cost-effectiveness
  • Interview domain experts and work with potential grantees
  • Synthesize conclusions and recommendations in writing for senior leadership
  • Rigorously evaluate and synthesize academic evidence relevant to grantmaking

Requirements

  • At least three years of relevant professional experience or equivalent in academia
  • Strong quantitative ability and comfort with sparse data
  • Strong written communication and reasoning transparency
  • Interest in AI's implications for global health and wellbeing
  • Pragmatism and ability to make reasonable estimates with limited data
  • Strong listening ability and epistemic judgment
  • Comfort with trade-offs and prioritization
  • Flexibility to work across a range of topics

About the Company

Coefficient Giving (formerly Open Philanthropy) is a philanthropic funder and advisor. Since 2014, we've directed over $7 billion in grants as part of our mission to help others as much as we can with the resources available to us.

Benefits

  • Excellent health insurance (100% of premiums within the U.S.)
  • Dental, vision, and life insurance
  • Four weeks of PTO recommended per year
  • Four months of fully paid family leave
  • Generous and flexible expense policy for ergonomic equipment and software
  • Continual learning policy for professional development
  • Support for remote work (workspace or co-working hub access)

What we look for

  • at least three years of relevant professional experience
  • strong quantitative ability
  • strong written communication
  • strong listening ability
  • interest in AI's implications for global health
  • pragmatism
AIAI/ML
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