Harvard Business School Professor Tomomichi Amano is seeking a half-time Research Associate for one year or more. This is a terrific opportunity for those looking to explore research in the quantitative marketing field. Focus areas include but are not limited to: public policy and marketing (e.g. energy efficiency standards; hybrid vehicle diffusion; mobile game addiction and regulations; mental health and consumption behavior); online policies and pricing, and online marketing.
The RA will report 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.
Conduct technical tasks to: (1) Manage, manipulate, and summarize large data sets. (2) Scrape and collect data from complex online sources. (3) Perform analyses, regressions, and create visualizations.
Contribute to scholarly research products including but not limited to journal articles, working papers, existing cases, and presentations.
Develop, synthesize, and provide analysis of data exhibits for academic journal articles, HBS cases and teaching notes.
Independently and responsibly manage all timelines and deliverables. Exercise independent decision making with regard to progression of research project and methodologies. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment.
Ensure compliance with department, University, and federal regulations. Complete work with only general direction. Be aware of department, School, University policies and potential outside research policies.
Bachelor’s degree required. This position is ideal for candidates with an interest in economics or applied marketing research who have plans for future doctoral studies.
Strong working knowledge of Stata, R, or other statistical programming languages, and as well as comfortability with using the command line/terminal. Experience with Python (for web-scraping), MATLAB, and/or Git (for collaboration on coding projects) are a plus.
Evidence of outstanding academic achievement. Indication of training and good habits in data management and analysis. All candidates will be expected to submit sample coding to be reviewed by and discussed with an HBS statistician, and/or given a comparable exercise.
Excellent communication, interpersonal, organization, research, and analytical skills are required. Proven ability to handle multiple projects simultaneously and to flexibly adapt to changes in priorities; ability to work calmly under deadline pressure, work both independently and as a team member, take initiative; and follow projects through to completion.
Applicants should not reach out to Professor Amano directly.
This is a half-time term appointment starting this summer (or sooner; start date flexible) through June 30, 2022, with likely reappointment for the next academic year and further. Preference for a candidate willing to commit for two or more years.
All Research Associate roles at HBS are structured as one-year term appointments. Half-time positions are benefits eligible and can be paired to create a full-time position.
Applications will be considered on a rolling basis, a cover letter and resume are required for full consideration. Upon the review of application materials, applicants may be asked to submit a code and writing sample, and transcript(s). Short-listed applicants will be invited to complete a programming/data exercise.
Culture of Inclusion: The work and well-being of HBS are strengthened profoundly by the diversity of our network and our differences in background, culture, experience, national origin, religion, sexual orientation, and much more. Explore HBS Work Culture.
Harvard Business School will not offer visa sponsorship for this opportunity.
Interested and qualified candidates are encouraged to apply via the Harvard Careers page, requisition 53535BR. Thank you!
Not the right fit? Be sure to check out additional Research Associates roles here: http://www.hbs.edu/research/ra.