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Postdoctoral Fellowship in High Throughput Sequencing Analysis, Biological Sequence Analysis, and Molecular Biology Experimental Design
*The successful applicant will work under the mentorship of Sarah Wheelan, M.D., Ph.D. and will primarily work on analysis of high throughput sequencing data, including finding biological relevance through alignment and statistical analysis, as well as developing analytical techniques and high-capacity viewers for these data. Working with several collaborators throughout Hopkins and in various departments will expose the fellow to many different applications of high throughput sequencing and will require the fellow to develop flexible, innovative, and tailored solutions to a wide range of experimental problems. The Division also has strong research and teaching connections with the HiT (High Throughput Biology) center in the Johns Hopkins University, the Next Generation Sequencing Center in the JHU department of Oncology, and the Department of Biostatistics in the Johns Hopkins Bloomberg School of Public Health. The fellow will also be strongly encouraged to undertake an independent research program.
*Suitable applicants will have a PhD in a biological science or computer science with solid programming skills (a scripting language, plus R, is most useful), though this field is diverse and thus anyone with a PhD, suitable skills, and a deep interest in genomics and sequence-level biology will be considered.
*The successful applicant will work under the mentorship of Sarah Wheelan, M.D., Ph.D. and will primarily work on analysis of high throughput sequencing data, including finding biological relevance through alignment and statistical analysis, as well as developing analytical techniques and high-capacity viewers for these data. Working with several collaborators throughout Hopkins and in various departments will expose the fellow to many different applications of high throughput sequencing and will require the fellow to develop flexible, innovative, and tailored solutions to a wide range of experimental problems. The Division also has strong research and teaching connections with the HiT (High Throughput Biology) center in the Johns Hopkins University, the Next Generation Sequencing Center in the JHU department of Oncology, and the Department of Biostatistics in the Johns Hopkins Bloomberg School of Public Health. The fellow will also be strongly encouraged to undertake an independent research program.
*Suitable applicants will have a PhD in a biological science or computer science with solid programming skills (a scripting language, plus R, is most useful), though this field is diverse and thus anyone with a PhD, suitable skills, and a deep interest in genomics and sequence-level biology will be considered.