Postdoc: Causal Inference & Agentic AI Research Fellow

Harvard Corporation; Boston (MA); Hybrid; USD 70,000 - 73,000; Full time

Job summary

Harvard University in Boston, MA, invites applications for a postdoctoral research fellow position in the CAUSALab within the Department of Epidemiology at the Harvard T.H. Chan School of Public Health.

The role involves working on causal inference projects under the supervision of Professor Miguel Hernan, with emphasis on AI methods and target trial emulation to inform public health decisions. The ideal candidate has expert knowledge of R or SAS and strong writing and collaboration skills.

Qualifications

• Expert knowledge of R or SAS.
• Excellent writing skills.
• Strong team player with excellent communication skills.

Responsibilities

• Postdoctoral research fellow will work on causal inference projects under the supervision of Professor Miguel Hernan.
• Projects range from development of causal inference and AI methods to implementation of established causal inference approaches to support public health and clinical decision making.
• Focus will be on agentic AI for target trial specification and emulation.

Skills

R

SAS

Job description

Harvard University in Boston, MA, invites applications for a postdoctoral research fellow position in the CAUSALab within the Department of Epidemiology at the Harvard T.H. Chan School of Public Health.

The role involves working on causal inference projects under the supervision of Professor Miguel Hernan, with emphasis on AI methods and target trial emulation to inform public health decisions. The ideal candidate has expert knowledge of R or SAS and strong writing and collaboration skills.