Pre-doc Fellow

20-Oct-2022

Harvard Business School

60367BR

Position Description

Harvard Business School seeks half-time Predoctoral Fellow to work with a faculty in our Strategy unit for the remainder of academic year 2022-2023, with likely reappointment the following year. The Fellow will assist with the daily operations of research projects in the fields of competition, management, and innovation. Research often draws heavily on applied econometrics and microeconomic theory. This position is ideal for candidates with an interest in economics who have plans for doctoral studies in two years.

The Fellow will report directly to the faculty and administrative manager in the Research Staff Services office. Ideal 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:

• 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.
• Develop and maintain expertise in new research methodologies and techniques. Manage and manipulate data using requested packages; STATA, Python, R, or MATLAB.
• Balance project requests from multiple faculty members, using strong communication and prioritization skills. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment.
• Independently manage all timelines and deliverables. Exercise independent decision making with regard to progression of research project and methodologies.

Basic Qualifications

Bachelor’s degree in economics, mathematics, quantitative sciences, or business-related field required.

Statistical/programming experience and/or applied experience with Python, STATA, MATLAB, or R.

Additional Qualifications and Skills

Evidence of outstanding academic achievement. Indication of independent research experience and/or applied experience. Methodological interests in econometrics, statistics, machine learning, industrial organization, productivity, and economic theory are preferred.

Excellent communication, interpersonal, organization, research, analytical, writing, and editing 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

Additional Information

Candidates should not reach out to faculty directly.

This is a full-time term appointments starting as soon as possible through June 30, 2023, with an expectation of reappointment until June 30, 2025. All Predoctoral Fellow roles at HBS are structured as one-year term appointments, but faculty prefer candidates willing to commit for two years.

The recruiting process is rolling. Applications will be reviewed as they are received, now through spring. Candidates with external deadlines should notify the recruiter as soon as possible.

A cover letter is required to be considered for this opportunity. All candidates will be expected to submit a writing sample and transcript. Candidates will submit sample coding to be reviewed by an HBS statistician.
Harvard Business School will not offer visa sponsorship for this opportunity.

Our salaries – combined with comprehensive benefits, generous paid time-off, access to education and professional development, and a vibrant campus with abundant cultural and recreational opportunities – create a competitive and compelling total rewards package.

This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus. Specific days and schedule will be determined between you and your manager.
While we continue to monitor the evolving COVID-19 guidelines and restrictions, we appreciate your understanding and flexibility with our interview process. Please note that we will be conducting interviews virtually (phone and or Zoom) for selected candidates until further notice.

The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard’s Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University’s “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/ .

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore HBS work culture at https://www.hbs.edu/employment/.

Location

USA – MA – Boston

Job Code

RS0055 Researcher I Humanities

Department

Division of Research and Faculty Development

Union

00 – Non Union, Exempt or Temporary

Appointment End Date

30-Jun-2023

Pre-Employment Screening

Education, Identity

Commitment to Equity, Diversity, Inclusion, and Belonging

Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.

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.