The post-doctoral scholar will study how rapidly evolving RNA viruses (e.g., influenza, coronavirus) spillover, transmit, and evolve at the human-animal interface, using advanced Bayesian phylogenetic approaches and large-scale genomic data. The post-doctoral scholar will perform a central role in data analysis within an interdisciplinary team of international scientists conducting fieldwork, experimental studies, and statistical analyses on emerging pathogens. Note that this position is
strictly computational (no fieldwork or lab work required). This project is part of a longstanding government-academic partnership spanning multiple Federal agencies and academic institutions to study disease spillover between humans, wildlife, and livestock and identify successful intervention strategies to break transmission in real-world settings.
Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in Bayesian approaches to phylodynamic analysis of virus populations are particularly encouraged to apply. Programming skills (e.g., R, python) and an ability to learn how to use new software and quickly become expert in its applications to genomic data are essential. Applicants must possess good communication skills and be prepared to work collaboratively within a fast-paced team of international scientists to inform time-sensitive outbreak responses.
Interested applicants should submit a curriculum vitae, a detailed letter of interest, and the names of three potential references to Dr. Martha Nelson at nelsonma@mail.nih.gov.
The NIH is dedicated to building a diverse community in its training and employment programs.
