Postdoctoral Associate; Cancer

Overview

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.

The Postdoctoral Associate performs scientific research and studies under the supervision of managing staff. The role contributes to the advancement of the institutional mission through scientific contributions to the community.

• Conducts research on assigned areas of study.
• Prepares research reports and technical papers for publishing.
• Investigates the feasibility of applying a wide variety of scientific principles and theories.
• Maintains substantial knowledge of state-of-the-art principles and theories.
• Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
• Adheres to University and unit-level policies and procedures and safeguards University assets.
• This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

• Education:
  
  Ph.D. in relevant field
• Experience:
  
  No prior experience required

• Skill in collecting, organizing, and analyzing data.
• Ability to recognize, analyze, and solve a variety of problems.
• Ability to exercise sound judgment in making critical decisions.

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). The role investigates the molecular mechanisms of epigenetic regulation of cancer, with particular focus on normal and malignant hematopoiesis. The Nimer laboratory studies transcriptional regulation of hematopoiesis to understand how normal stem cell self-renewal and differentiation are regulated and how these processes are aberrantly regulated in hematologic malignancies.

The laboratory focuses on epigenetic modifications and chromatin changes in disease development and aims at identifying novel therapeutic targets and approaches to enhance cancer cell responsiveness to treatment.

We seek highly motivated individuals to develop and implement innovative computational approaches for analyzing high-throughput genomic and epigenomic data, including integrated cancer risk prediction models, 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 hematologic malignancies.

The goal is to identify epigenetically regulated programs that become deregulated and contribute to disease development. Applicants should hold a PhD and/or MD and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred. The successful candidate will work in a collaborative environment with multiple faculty members, biostatisticians and bioinformaticians on translational cancer research.

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 models, 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 work 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 environments and compute clusters. Strong oral and written communication skills. Good organizational, communication and interpersonal skills. Ability to work both independently and in a team; ability to write manuscripts independently.

Ph.D. in Bioinformatics, Computational Biology, Biostatistics, Statistics, Genetics, Computer Science, or a related…