Postdoc: Network Science & Causal Inference - 1 Year

Harvard University; Boston (MA); On-site; USD 55,000 - 75,000; Full time

Job summary

Harvard University is seeking a Postdoctoral Research Fellow in the Onnela Lab at the T.H. Chan School of Public Health. The role involves developing theory and methods related to causal inference and network science, building software, and collaborating on health sciences projects. A Ph.D. in biostatistics, applied mathematics, or a related field is required. Candidates should possess strong computational skills, with a flexible start date. Join Harvard's commitment to equal opportunity and thrive in a diverse academic community.

Qualifications

• Doctoral degree in biostatistics, statistics, or a related field is required.
• Strong computational skills and expertise in causal inference or network science are desired.

Responsibilities

• Develop new theory and methods at the intersection of causal inference and network science.
• Build software.
• Collaborate on applied health sciences projects.

Skills

Computational skills

Causal inference

Network science

Education

Ph.D. in biostatistics, applied mathematics, computer science, or related field

Job description

Harvard University is seeking a Postdoctoral Research Fellow in the Onnela Lab at the T.H. Chan School of Public Health. The role involves developing theory and methods related to causal inference and network science, building software, and collaborating on health sciences projects. A Ph.D. in biostatistics, applied mathematics, or a related field is required. Candidates should possess strong computational skills, with a flexible start date. Join Harvard's commitment to equal opportunity and thrive in a diverse academic community.