Research Associate - Boston, United States - Harvard University

Harvard University Boston, United States

3 weeks ago

Description

Basic Qualifications

Bachelor's degree required. Strong preference for candidates with a background in Computer Science, Econometrics, Statistics or Data Science.

Additional Information

This is a full-time term appointment beginning as soon as possible (start date flexible) through June 30, 2024, with an expectation of reappointment until June 30, 2025.

All Research Associate roles at HBS are structured as one-year term appointments with potential for renewal based on funding and performance.

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 2-4 days per week.

Specific days and schedule will be determined between you and your manager.

We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.

A cover letter is required to be considered for this opportunity.

All candidates will be expected to submit a writing sample, transcripts, and a code sample to be reviewed by an HBS statistician.

Harvard Business School will not offer visa sponsorship for this opportunity.

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 more about HBS work culture here

Position Description

The Digital, Data, and Design (D^3) Institute at Harvard is looking for a full-time Research Associate (RA) to drive and support research activities at our newly formed research labs.

D^3 formally launched in July 2022 with 10 newly minted labs that provide cutting edge research faced by academics and practitioners.

For more information on D^3, please visit

The RA will work under the direct supervision of a Lab Manager at each lab. The RA will also work closely with Harvard Business School faculty and D^3 core and platform staff. D^3 is looking for candidates with diverse backgrounds and/or new perspectives.

The Customer Intelligence Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a quantitative Research Associate.

The goal of the Customer Data Lab is to leverage customer data to improve outcomes for firms, consumers, and society at large.

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.

Under the general direction of faculty member(s), the RA will collect and analyze big data; estimate statistical and machine learning models; design and conduct online experiments; conduct academic literature search; contribute to scholarly research products including but not limited to journal articles, working papers, and presentations.

Primary Duties:

Independently 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.
The qualified individual should demonstrate strong skills of: Programming and engineering, including Python (must), Bash script, SQL, and preferably C++, Julia.
Statistical analysis in R (must), and preferably STATA.
Strong background in statistics and mathematics.
Develop, synthesize, and provide analysis of data exhibits for academic journal articles.
RA must also 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.
Responsible for other duties as assigned.

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