Postdoc in Causal Inference for Environmental Health

Harvard University; Harvard (IL); On-site; USD 67,500 - 82,500; Full time

Job summary

Harvard University is seeking a full-time Postdoctoral Research Fellow to work on developing and applying novel causal inference methods for large-scale observational studies focusing on environmental exposures and public health. The position requires a PhD in a relevant field and involves working with large datasets, contributing to high-impact journal publications, and collaborating with a diverse team. The role offers a salary of $75,000 annually and excellent career development opportunities.

Qualifications

• PhD (completed or near completion) in Statistics, Biostatistics, Data Science, or a closely related field.
• Demonstrated expertise in causal inference and methods development.
• Experience with statistical and ML methods, including Bayesian methods or deep learning.

Responsibilities

• Design, develop and implement novel causal inference methods.
• Work with large, high‑dimensional datasets.
• Lead and contribute to manuscripts for high‑impact journals.

Skills

Causal inference

Statistical programming in R and/or Python

Machine learning methods

Communication skills

Collaboration in interdisciplinary teams

Education

PhD in Statistics, Biostatistics, Data Science, or related field

Tools

Cloud computing environments

Job description

Harvard University is seeking a full-time Postdoctoral Research Fellow to work on developing and applying novel causal inference methods for large-scale observational studies focusing on environmental exposures and public health. The position requires a PhD in a relevant field and involves working with large datasets, contributing to high-impact journal publications, and collaborating with a diverse team. The role offers a salary of $75,000 annually and excellent career development opportunities.