Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference

Statistics Interest Group; Boston (MA); Hybrid; USD 65,000 - 85,000; Full time

Job summary

Harvard T.H. Chan School of Public Health in Boston invites applications for a one-year Postdoctoral Research Fellow position in the Onnela Lab, focusing on network science and causal inference.

The position supports developing new theory, methods, and software, with potential collaboration on health sciences applications. A PhD in biostatistics, statistics, computer science, or a related quantitative field is required.

Qualifications

• Strong computational skills.
• Expertise in causal inference or network science is desirable but not required.
• Start date and term are negotiable.

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

Doctoral degree in biostatistics, statistics, or related field

Job description

Harvard T.H. Chan School of Public Health – Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference

Company Name Harvard T.H. Chan School of Public Health

Position Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference

Company Information

The Harvard T.H. Chan School of Public Health is the public health school at Harvard University, located in the Longwood Medical Area of Boston, Massachusetts.

Duties and Responsibilities

The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science, building software, and potentially collaborating on applied health sciences projects.

Position Qualifications

Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong computational skills and expertise in causal inference or network science are desired but not required. Start date and term are negotiable.