Postdoctoral Associate; Cancer

Postdoctoral Research Associate

We are accepting applications for a Postdoctoral Research Associate in Dr. Stephen Nimer's lab at the Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine (Miami, Florida) to investigate the molecular mechanisms of epigenetic regulation of cancer, with particular focus on normal and malignant hematopoiesis.

The Nimer laboratory has been studying the transcriptional regulation of hematopoiesis for decades, with the aim of understanding how the normal processes of stem cell self-renewal and differentiation are regulated and how these processes are aberrantly regulated in hematological malignancies. The laboratory currently focuses on studying the contribution of epigenetic modifications and chromatin changes to the development of these diseases and aims at identifying novel therapeutic targets and novel approaches to making cancer cells more responsive to treatment.

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 malignancies.

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.