Harvard Business School seeks Predoctoral Research Associates to support faculty members with academic projects in fields like competition, management, and innovation, which often draw heavily on applied econometrics and microeconomic theory.
Requirements
- Statistical/programming experience and/or applied experience with Python, STATA, R, or MATLAB are required.
- Behavioral predoctoral roles require familiarity with qualitative coding and research methods, including tools like Qualtrics and MTurk.
- Methodological interests in econometrics, statistics, machine learning, industrial organization, productivity, and economic theory are preferred.
- Must be able to take complex research ideas, concepts, and methodologies and apply them to new projects and situations.
- Strong interest or prior experience leveraging AI.
Responsibilities
- Develop and maintain expertise in new research methodologies and techniques.
- For quantitative roles, Predocs will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB.
- For behavioral roles, Predocs will manage and manipulate data using qualitative research tools, such as Qualtrics and MTurk. They will also manage IRB submissions.
- Collect, clean, synthesize, and analyze data.
- Produce statistical models.
- Provide analysis of data exhibits for academic journal articles.
- Provide statistical analysis and design for reports and presentations.
Other
- Bachelor’s degree in economics, mathematics, quantitative sciences, or business-related field with a GPA of 3.5 or higher is required.
- Evidence of outstanding academic achievement.
- Indication of independent research experience and/or applied experience.
- Ability to use own judgement, structure assignments, and keep faculty members informed are a must.
- Excellent communication, interpersonal, organization, research, analytical, writing, and editing skills are required.