Postdoctoral Associate, Cancer

University of Miami

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Work type
On-site
Location
Miami, FL
Employment
Full-time
Posted
8 days ago
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Confirmed live today

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About University of Miami

The University of Miami is a private research university in Coral Gables, Florida, known for programs in business, law, medicine, marine science, and the arts. Industry: Higher Education & Research

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TL;DR · Postdoctoral Associate, Cancer

JOB TITLE: Postdoctoral Associate (Cancer) The Postdoctoral Associate joins Dr. Stephen Nimer’s lab at the Sylvester Comprehensive Cancer Center to investigate the molecular mechanisms of epigenetic regulation in cancer, specifically focusing on normal and malignant hematopoiesis. This role involves developing innovative computational approaches to analyze high-throughput genomic and epigenomic data to identify deregulated programs contributing to hematologic malignancies. Key responsibilities include performing research, preparing technical papers, and building integrated cancer risk prediction models, cancer subtype discovery, and single-cell RNA-Seq data analysis. The successful candidate will utilize R, Bioconductor, Perl, and Python within a Linux/Unix environment to process RNA-Seq, ChIP-seq, HiC-Seq, and ATAC-Seq datasets. This position requires a PhD in a relevant field and strong computational biology skills to support translational cancer research and identify novel therapeutic targets.

What you'll do

  • Conduct research on specific areas of study as assigned by managing staff.
  • Develop and implement innovative computational approaches for analyzing high-throughput genomic and epigenomic data.
  • Perform next-generation sequencing based profiling studies including RNA-Seq, ChIP-seq, HiC-Seq, and ATAC-Seq.
  • Analyze single-cell RNA-Seq data and non-coding RNA datasets to characterize epigenetic changes.
  • Create integrated cancer risk prediction models and perform cancer subtype discovery.
  • Prepare research reports and technical papers for publication in the scientific community.
  • Develop advanced analytical models and systems to support strategic and tactical decisions.

What we're looking for

  • Ph.D. in Bioinformatics, Computational Biology, Biostatistics, Statistics, Genetics, Computer Science, or a related field.
  • MD degree is also acceptable.
  • Strong computational biology skills.
  • Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis.
  • Solid training in quantitative sciences and sound knowledge of statistics.
  • Experience with next-generation sequencing (NGS) data analysis.
  • Familiarity with Linux/Unix environment and compute clusters.
  • Previous experience with epigenome-wide assays (preferred).

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