H
Not Specified Permanent

Cambridge, Massachusetts · USA job

Research Associate (General)

Harvard University

Cambridge, Massachusetts

Job description

Overview

In this role you will work directly with HBS faculty to advance the school's research agenda across AI, digital transformation, and future-of-work topics. You'll design and conduct analyses, produce case materials and policy memos, and communicate findings to both academic and business audiences. You will join a collaborative, rigorous environment that values independence and intellectual curiosity. This is a hands-on research position with opportunities to influence high-impact projects and potentially publish in outlets like Harvard Business Review. You will contribute to shaping business knowledge at a leading institution.

Compensation / Benefits
  • Generous paid time off
  • Medical, dental, and vision insurance from day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Tuition assistance and reimbursement for professional development
  • Commuter benefits and campus perks
Responsibilities
  • Support faculty on research topics central to HBS agenda
  • Provide subject-area knowledge, analysis, and interpretation
  • Identify and explore questions related to faculty research
  • Write cases, supplements, reports, and policy memos from research
  • Write articles for business audiences (e.g., HBR)
  • Develop, design, and conduct data-driven research using statistical tools
  • Perform statistical programming and NLP
  • Manage and manipulate data using STATA, Python, R, or MATLAB
  • Ensure compliance with regulations and policies
  • Work with discretion and keep faculty informed
Key requirements
  • Bachelor's degree with GPA > 3.5
  • Ability to read academic material and write thoughtful analyses
  • Evidence of independent research and high-quality academic writing
  • Strong attention to detail, organization, and task completion
  • Ability to balance multiple tasks under tight deadlines
  • Familiarity with navigating a complex organization (preferred)
  • independence
  • intellectual curiosity
  • discretion
  • statistical programming
  • data manipulation with STATA
  • Python

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