Postdoctoral fellow and PhD student positions are available in the Ouyang Lab at the research institute Jackson Laboratory for Genomic Medicine. The Ouyang Lab specializes in developing novel statistical and computational methodologies to study genome regulation. Our specific research interests include but are not limited to gene expression, noncoding RNA, and chromatin organization. We have direct access to large-scale datasets from cutting-edge sequencing technologies and disease model systems, working in close collaboration with experimentalists.
Well-suited candidates should have Ph.D. experience in bioinformatics, statistics, biostatistics, computer science, or related fields. Strong programming skills (R and Python/Perl/C/C++), statistical modeling expertise, and good publication records are essential. Prior experience in next generation sequencing and high-throughput genomics is a strong plus.
Candidates should have a Master's degree in a quantitative discipline. Outstanding candidates with Bachelor's degree will be considered. The preference will be given to candidates with excellent programming skills and experience in statistical modeling and bioinformatics research. Interested candidates should apply to the Bioinformatics Track of the Biomedical Engineering Ph.D. program at the University of Connecticut (http://www.bme.uconn.edu/application-procedure.php) and meet the requirements there.