The Social Network Methods Section, within the Social and Behavioral Research Branch of the National Human Genome Research Institute (NHGRI) is seeking applications for a postdoctoral fellowship. The Social and Behavioral Research Branch of the NHGRI has the mission to understand the broad swath of behavioral and social issues in translating genomic discovery for health promotion, disease prevention, and health care improvements. The Social Network Methods section offers training and research opportunities on a wide range of topics involving relational data and health.
We seek candidates with a topical interest in health, genomics, and/or epigenetics. Successful candidates will train in the Social Network Methods Section with an emphasis on analysis of large-scale networks, network inference, and other approaches to relational data structures.
Candidates must have completed training at the doctoral level within 5 years of the position start date. Pre-doctoral (ABD) candidates are encouraged to apply. Candidates from a variety of fields are welcome to apply, including sociology, psychology, demography, statistics, computer science, and epidemiology. A strong preference will be given to candidates with expertise in social network analysis, geographic information systems, exponential random graph models, graph theory, relational event analysis, and/or statistical programming (R, C, python, etc).
Questions about the fellowship should be addressed to Drs. Laura Koehly (email@example.com<mailto:firstname.lastname@example.org>) and Christopher Marcum (email@example.com<mailto:firstname.lastname@example.org>) .
The fellowship includes a competitive salary and benefits. Applicants should send their curriculum vitae, a statement of research interests, and names of three references to email@example.com<mailto:firstname.lastname@example.org>. Applications will be reviewed on a rolling basis until the position is filled. The start date is flexible.