"Research Associate (January 2026 Start)"

Harvard Business School (HBS) seeks multiple Research Associates to support faculty members focused on a variety of research methodologies, such as experimental design, analysis, coding, IRB, and data analysis in topics ranging from digital reskilling to marketing focused research in consumer behavior. These opportunities start in January 2026.

The Research Associates (RA) position reports directly to faculty supervisors and administrative manager in the Research Staff Services office. Ideal RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and the ability to use discretionary judgment.

Primary Duties:

• Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
• Develop and maintain expertise in new research methodologies and techniques.
• For quantitative roles, manage and manipulate data using packages such as STATA, Python, R, or MATLAB.
• For behavioral roles, manage and manipulate data using qualitative research tools such as Qualtrics and MTurk, and manage IRB submissions.
• Collect, clean, synthesize, and analyze data; produce statistical models; provide analysis of data exhibits for academic journal articles; and provide statistical analysis and design for reports and presentations.
• Develop, synthesize, and provide analysis of literature reviews; may also provide analysis, editing, and drafts for academic journal articles, HBS cases, and HBS teaching notes.
• Balance project requests from multiple faculty members, using strong communication and prioritization skills; structure assignments and keep faculty informed as necessary.
• Independently manage all timelines and deliverables; exercise independent decision making with regard to progression of research projects and methodologies.
• Responsible for other duties as assigned.

Qualifications:

Basic Qualifications: Bachelor’s degree in economics, mathematics, quantitative sciences, or business-related field with a GPA of 3.5 or higher; statistical/programming experience and/or applied experience with Python, STATA, R, or MATLAB; for behavioral roles, familiarity with qualitative coding and research methods, including tools like Qualtrics and MTurk.

Additional Qualifications and Skills: Evidence of outstanding academic achievement; indication of independent research experience; methodological interests in econometrics, statistics, machine learning, industrial organization, productivity, and economic theory; ability to apply complex research ideas to new projects; excellent communication, interpersonal, organization, research, analytical, writing, and editing skills; ability to handle multiple projects, work under pressure, and take initiative; strong interest or prior experience leveraging AI.

Additional Information: Appointment end date is June 30, 2026; standard hours are 40 per week; this is a hybrid position based in Boston, MA, with onsite requirements; Harvard University is unable to provide visa sponsorship; this is a term appointment with potential for reappointment based on funding and performance.

For more details, visit Harvard Human Resources.