Post Doctoral Associate

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** Current Employees:
** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click  to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this .The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Postdoc Associate to work at the UHealth medical campus in Miami, Fl.
** CORE JOB SUMMARY
** The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the  scientific community.
** CORE JOB FUNCTIONS
** 1. Conducts research on specific areas of study as assigned.  
2. Prepares research reports and technical papers for publishing.  
3. Investigates the feasibility of applying a wide variety of scientific principles and theories.  
4. Maintains substantial knowledge of state-of-the-art principles and theories.  
5. Develops advanced analytical models and systems and provides solutions and analyses to support  strategic and tactical decisions.  
6. 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.
** CORE QUALIFICATIONS
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* Education:

Ph.D. in relevant field

Experience:

No prior experience required
** Knowledge, Skills and Attitudes:*
* • 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.#
** DEPARTMENT SPECIFICS:
** 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 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.
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* DUTIES & RESPONSIBILITIES:

** 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…