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Research Associate - Technology and Operations Management Unit

Harvard University – Boston, MA

Job Code

RS0056 Researcher II Humanities

Duties & Responsibilities

Harvard Business School seeks a Research Associate (RA) to support a faculty member in the Technology and Operations Management (TOM) unit with research focusing on the emerging field of Business Analytics and Data Science. Research will be conducted on large, internal data sets requiring proficiency with database management, R, SQL, and Python. The RA will also assist with the creation of some teaching materials for an MBA course on analytics. Including revising and writing traditional cases, along with the datasets and analyses of datasets that accompany the cases. The Research Associate 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 and intellectual curiosity and the ability to use discretionary judgment. Under the general direction of faculty member, the RA will synthesize, analyze, and produce original written materials for all forms of academic writing; conduct background research, propose and create new cases, and update existing cases or materials for classroom use; use advanced knowledge of quantitative and qualitative research methodologies to manage, extrapolate, and analyze research data.

Basic Qualifications

Advanced degree required with 2 years of experience or bachelors degree with significant relevant work experience (4 years of experience). Working knowledge of R, Python, and/or SQL is required.

Additional Qualifications

Degree in Business, Social Sciences, Political Science, Economics, Computer Science or similar with a background in statistical/mathematical methods preferred.
Evidence of academic excellence. 2-4 years of relevant experience. Proven evidence of independent research experience. The successful candidate will have excellent analytical and conceptual skills and must be comfortable working with data including but not limited to data management, mining analysis among others. The successful candidate will also have proficiency in Excel, SQL, and R. Background in running lab sessions for experimental study is desired.
The candidate must have extremely high standards in terms of quality of work, attention to detail, strong organization skills, and absolute commitment to task completion. He or she must be able to balance multiple tasks and shifting priorities under tight deadlines at an accelerated pace when necessary. It is helpful if the candidate is familiar with navigating a complex organization, such as Harvard Business School.

Additional Information

Potential Outcome: This is an exciting opportunity that will provide the successful candidate with first hand exposure to world class faculty, and an ideal environment in which to advance ones own learning and professional development. The role could aid an individual with long-term aspirations of seeking a PhD in Technology and Operations Management, as it will help to develop and build a platform of research and writing in the field of business analytics, digital transformation, and data science.
This a full-time (or potentially half-time) term appointment starting this summer (start date flexible) through June 30, 2020 with potential for reappointment. All Research Associate roles at Harvard Business School are structured as 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 writing sample, transcript(s), and sample coding (if applicable).
HBS is not able to provide visa sponsorship for this position.

Job Function





USA - MA - Boston


Division of Research & Faculty Development

Time Status



00 - Non Union, Exempt or Temporary

Salary Grade


Appointment End Date


Pre-Employment Screening

Education, Identity


EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Harvard University - 14 days ago - save job - original job

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