The Digital, Data, and Design (D^3) Institute at Harvard is looking for multiple energetic Research Associates (RAs) to drive research activities at our newly formed research labs. D^3 will have a formal launch in July 2022 with 10 newly minted labs that will provide cutting edge research faced by academics and practitioners. For more information on D^3, please visit https://d3.harvard.edu.

The RAs will work under the direct supervision of a Lab Manager at each lab. The RAs 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 Digital Emotions Lab, led by Professor Amit Goldenberg, is seeking a quantitative Research Associate. The mission of the Lab is to explore the interactions between the digital world and people's emotions. The ideal candidate would have experience conducting quantitative research including data collection and analysis.

Duties:

Coordinate research tasks with the lab's academic partners and faculty internally at Harvard and at other research institutions as well as with companies;

Extraction, cleaning, exploration, and analysis of data collected from various sources, including organizational data and aggregated intelligence; and

Creation and maintenance of documentation of data files, modeling choices, rationale, and results.

Other duties as assigned.

This is a half-time term appointment starting July 1st through June 30, 2023, with the possibility of renewal based on funding and performance. All Research Associate roles at HBS are structured as term appointments. There is strong potential for reappointment, and a preference for candidates willing to commit for two or more years.

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

Strong programming experience with focus on either JavaScript, Python or R

Experience in data processing and data analysis

B.A. or B.S. in psychology, computer science, physics, math, economics, or other quantitative field

Strong oral and written communication skills

Keen ability to understand and present complex findings to general audiences

Willingness to problem solve and open to learning new skills as required


EQUAL OPPORTUNITY EMPLOYER: 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, or any other characteristic protected by law.