Research Associate - Boston, United States - Harvard University

Harvard University Boston, United States

7 hours ago

Description

Basic Qualifications

Bachelor's degree in economics, data science, computer science, statistics, information systems, or related field.
Experience with cleaning and analyzing data. Candidates will be asked to complete a coding exercise.

Additional Information

This is a full-time term appointment starting summer 2024 through June 30, 2025, with potential for re-appointment for the following year.

All HBS RA roles are structured as one-year appointments.

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, transcript, 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.

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Position Description

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

The RAs will work with Harvard Business School faculty, under the supervision of a lab manager and in collaboration with other D^3 staff.

The Platform Lab, which operates within D^3 and is led by Professors Chiara Farronato and Feng Zhu, is seeking a quantitative Research Associate.

The lab's research focuses mainly on creating a roadmap for businesses and policymakers that are interested in creating an innovative, socially impactful, and inclusive platform ecosystem.

Ideal RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and rigor.

The lab is particularly interested in pre-doctoral candidates, who would consider spending two years at the lab gaining valuable research experience for an eventual PhD program.

Duties:

Collect, preprocess, and analyze data.
Conduct background research and literature reviews.
Assist with preparation of presentations and class materials.
Manage projects and engage with field partners.
Exercise independent decision making with regard to progression of research projects and methodologies. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment.
Responsible for other duties as assigned.

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