Hybrid Predoctoral Research Fellow in Economics & Data

Harvard University FAS Human Resources; Boston (MA); Hybride; USD 60 000 - 70 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision coverage

Retirement plans with university/tuft?

Parental leave

Commuter benefits

Tuition assistance and reimbursement

Résumé du poste

Harvard Business School seeks multiple Predoctoral Research Associates to support faculty across several units starting Summer 2027. The role involves hands‑on empirical analysis, writing, and collaboration with leading researchers.

The position emphasizes independence, rigorous writing, and on‑site engagement in Boston as part of a hybrid work model. Ideal candidates will have a Bachelor’s degree with strong research history, experience with data analysis and NLP, and the ability to prepare

Qualifications

• Proven evidence of independent research in advanced field of study.
• Evidence of high‑quality, original academic writing and data interpretation.
• Ability to read academic material and write reasoned analysis.
• Strong writing and communication skills for policy memos and articles.

Responsabilités

• Work under the guidance of HBS faculty on central research topics.
• Write cases, project reports, and policy memos from start to finish.
• Develop, design, conduct, and analyze research using data science tools; NLP experience a plus.
• Manage and manipulate data using STATA, Python, R, or MATLAB; ensure compliance with policies.

Connaissances

NLP

Data analysis

Python

R

STATA

MATLAB

Academic writing

Formation

Bachelor’s degree with GPA > 3.5

Outils

STATA

Python

R

MATLAB

Description du poste

Harvard Business School seeks multiple Predoctoral Research Associates to support faculty across several units starting Summer 2027. The role involves hands‑on empirical analysis, writing, and collaboration with leading researchers.

The position emphasizes independence, rigorous writing, and on‑site engagement in Boston as part of a hybrid work model. Ideal candidates will have a Bachelor’s degree with strong research history, experience with data analysis and NLP, and the ability to prepare