Johns Hopkins Bloomberg School of Public Health
Department of Biostatistics
Post-Doctoral Fellowship Opening
Positions to begin Spring or Summer 2019
Applications Due: Open until filled, applications will be reviewed on a rolling basis and those received by January 31, 2018 will receive priority.
The postdoctoral scientist will lead the data analysis, and the statistical methodology and software development for a project related to identifying the biological basis of subtypes of high-grade serous ovarian cancers (HGSOC) using bulk and single-cell RNA-sequencing data. This is highly relevant to public health because HGSOC is a particularly deadly cancer that is often only identified at late stage and treatment options are limited. The long-term impact of this project will be a key step towards developing targeted treatments for HGSOCs.
In addition, the postdoc will create and contribute robust, open-source software using the Bioconductor framework, have the opportunity to present her/his work at local and national conferences, and write open-access, peer-reviewed publications. Strong mentorship and personalized training to gain essential professional skills to achieve his/her long-term career goals (e.g. academic, industry, government) will be emphasized. The position is at the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, but the project also includes collaborations with Casey Greene from the Perelman School of Medicine at the University of Pennsylvania and Jennifer Doherty from the School of Medicine at the University of Utah and the Huntsman Cancer Institute, which will help the postdoc establish a broad network of contacts, which will help the postdoc establish a broad network of contacts. Support for this postdoctoral position comes from the NIH Research Project Grant Program (R01) from the National Cancer Institute with guaranteed funding up to 5 years. For more information, see: https://www.stephaniehicks.com/join/ and the advertisement here.