Harvard T.H. Chan School Of Public Health-posted 8 months ago
Entry Level
Boston, MA

The Digital Data Design (D^3) Institute at Harvard produces cutting-edge research into the changes in the business landscape as a result of digital and AI transformations. The Tech for All lab aims to broaden the benefits of digital innovation and entrepreneurship to include more people in developing economies, women, people of color, and those in economically disadvantaged circumstances or regions. The lab's team of collaborators generates data-driven evidence, disseminated through academic papers and practitioner-focused articles, regarding the constituencies for which we fail to invent. Research is equally focused on identifying the frictions that drive such inequities and exploring how firms can use design, data, and new digital technologies to better invent for everyone. Our current projects include developing and evaluating a Generative AI assistant for millions of small businesses in Southeast Asia, studying how gender gaps in Generative AI usage affect tool development and benefits worldwide through large-scale surveys and experiments, exploring how AI can improve labor markets for underserved workers in emerging economies, and investigating how first-generation, low-income college students across the globe can leverage Generative AI for career growth and entrepreneurial success. The ideal candidate will be a detail-oriented researcher capable of managing multiple large-scale projects simultaneously. You will take ownership of data collection, analysis, and experimental design across several concurrent studies, including randomized control trials, large-scale surveys, and field experiments.

  • Designing and implementing experiments and surveys
  • Managing and analyzing large datasets
  • Developing and testing AI agents and prompts
  • Coordinating with international partners and research teams
  • Writing research papers for peer-reviewed social science journals
  • Ph.D. in economics, business, or related field (all degree requirements must be completed before start date)
  • Demonstrated ability to manage multiple complex projects simultaneously
  • Strong team player with excellent communication skills
  • Experience working with international partners preferred
  • Interest in AI, entrepreneurship, and economic development
  • Strong background in causal analysis and experimental design: difference-in-differences, fixed effects models, instrumental variables, treatment selection, power analysis
  • Proficiency in R, Python, or Stata for statistical analysis
  • Experience with SQL and data management
  • Familiarity with Generative AI tools and LLMs
  • Programming skills for processing raw data (including text manipulation)
  • Hybrid work environment (some combination of onsite and remote)
  • Potential for re-appointment for a second year based on performance and funding
  • Access to a diverse and inclusive work culture
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