Hybrid Research Associate: AI, Data Science & Social Impact

Harvard Business School

Boston (MA)

Hybrid

USD 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Parental leave
Medical insurance
Tuition assistance
Commuter benefits

Job summary

Harvard Business School in Boston is seeking multiple Research Associates (General) starting Summer 2026 to support faculty on a broad range of business topics. The role involves developing cases, project reports, and policy memos, and applying data science techniques and NLP to research questions.

Ideal candidates will demonstrate strong academic writing, rigorous analysis, and the ability to work independently within a collaborative environment.

Qualifications

  • Ability to read academic material and write a reasoned analysis.
  • Strong writing and communication skills for scholarly and business audiences.
  • Experience interpreting data and producing evidence-based summaries.

Responsibilities

  • Work under the general direction of faculty on topics central to HBS research agenda and provide subject-area knowledge and interpretation.
  • Write cases, case supplements, project reports, and policy memos from start to finish for business audiences.
  • Develop, design, conduct, analyze, and implement research using data science knowledge and NLP; perform statistical programming.
  • Manage and manipulate data using packages such as STATA, Python, R, or MATLAB.
  • Ensure compliance with department, University, and federal regulations; use good judgment on complex ideas.

Skills

Academic writing
Data analysis
Data interpretation
Interdisciplinary collaboration

Education

Bachelor's degree with GPA > 3.5

Tools

STATA
Python
R
MATLAB

Job description

Harvard Business School in Boston is seeking multiple Research Associates (General) starting Summer 2026 to support faculty on a broad range of business topics. The role involves developing cases, project reports, and policy memos, and applying data science techniques and NLP to research questions.

Ideal candidates will demonstrate strong academic writing, rigorous analysis, and the ability to work independently within a collaborative environment.

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