Postdoctoral Associate (Cancer)

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The University of Miami/UHealth Department of SCCC has an exciting opportunity for a full time Postdoctoral Associate to work at the UHealth medical campus in Miami, Fl.

We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets. Projects will include next-generation sequencing based profiling studies of RNA-Seq, ChIP-seq, HiC-Seq, ATAC-Seq, etc…to fully characterize epigenetic changes involved in the development of hematologic maligancies. The goal of these studies is to identify epigenetically regulated programs that become deregulated and contribute to the development of these diseases. Applicants should hold a PhD and/or MD degree and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred. The successful candidate will be working in a collaborative environment with multiple faculty members, biostatisticians and bioinformaticians on translational cancer research.

Solid training in quantitative sciences Sound knowledge of statistics and R/ Bioconductor Experience with next-generation sequencing (NGS) data analysis Understanding of epigenome biology Solid programming skills in scripting and/or compiled languages Familiarity with Linux/Unix environment and compute clusters Strong oral and written communication skills Good organizational, communication and interpersonal skills. The ability to work both independently and in a team environment Ability to write manuscripts independently

Ph.D. in Bioinformatics, Computational Biology, Biostatistics, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis is required.