Causal Inference Research Assistant - Non-Lab

Harvard University; Massachusetts; Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

Parental leave

Health insurance

Retirement plans

Wellbeing resources

Family support

Tuition assistance

Commuter benefits

Job summary

The Department of Epidemiology at the Harvard T.H. Chan School of Public Health invites applications for a research-support role in the CAUSALab. The position supports studies on disease determinants using causal inference methods and real‑world data, collaborating with renowned professors.

Responsibilities include coordinating tasks, analyzing data, drafting reports, and contributing to manuscripts. A 1-year term with potential extension is typical, with a 35‑hour work week and a hybrid work

Qualifications

• Experience with statistical software (STATA/SPSS/R).
• Strong data management and analysis skills.
• Excellent communication and organization abilities.

Responsibilities

• Perform and coordinate research tasks for CKM-CAUSAL projects.
• Collaborate with CAUSALab personnel and Harvard colleagues.
• Organize, analyze data and report results using statistical software.
• Prepare materials for publications and presentations.

Skills

STATA

SPSS

R

Education

Bachelor’s Degree in Public Health

Master of Public Health preferred

Job description

The Department of Epidemiology at the Harvard T.H. Chan School of Public Health invites applications for a research-support role in the CAUSALab. The position supports studies on disease determinants using causal inference methods and real‑world data, collaborating with renowned professors.

Responsibilities include coordinating tasks, analyzing data, drafting reports, and contributing to manuscripts. A 1-year term with potential extension is typical, with a 35‑hour work week and a hybrid work