Postdoctoral Fellow in Cancer Computational and Systems Biology

Harvard T.H. Chan Schoool of Public Health
Boston, Massachusetts, United States
Job Type:
  • Postdoctoral (There are multiple positions available.)
Degree Level Required:
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Postdoctoral Fellow in Cancer Computational and Systems Biology

I and my group work in computational and systems biology as applied to the study of human disease, including cancer. Our work involves application of methods at the interface of computational biology, network methods, and statistical research. We have published a number of papers on these methods and their application, including analyses of data from GTEx and TCGA, exploring cancer, pulmonary disease, and sex differences in health and disease.

I am looking for a number of good people who might be interested in working with me to better understand the gene regulatory network changes that influence risk, development, and progression of cancer, including response to therapy. This work supported by an NCI R35 and NCI U01, so most of our applications have a cancer emphasis, but I am applying for other support and there is potential to work on other projects.

The official posting can be found at: .


• Work as a member of a highly collaborative research team. • Participate as • Conduct research into development of new methods for inferring regulatory networks and understanding how the structure of these networks changes in health and disease. • Implement these methods in open source software tools and support reproducible research. • Work collaboratively with other faculty, postdocs, and students in the analysis and interpretation of large biomedical data sets. • Share methodological advances and research results in group meetings and at national and international meetings. • Write research papers that describe your work and collaborative work with others. • Assist in mentoring graduate students, undergraduate students, and summer interns.


A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required. Expertise in advanced methods in data science, biostatistics, or machine learning are highly desirable.

Additional Information

Our research group is a highly collaborative team that works together to develop new methods and explorer a wide range of biological problems in human health and disease. Much of our recent work is in cancer and pulmonary disease, although we apply our methods to study a wide range of chronic and infectious diseases.