University of Miami
Post Doctoral Associate – University of Miami
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Post Doctoral Associate
role at
University of Miami .
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
Conducts research on specific areas of study as assigned.
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.
Core Qualifications 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 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 Ph.D. 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.
Duties & Responsibilities Develop and implement innovative computational approaches for analyzing high‑throughput genomic and epigenomic data, including integration, risk prediction models, and single‑cell analyses. Collaborate with faculty, biostatisticians, and bioinformaticians on translational cancer research.
Knowledge, Skills, and Abilities
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.
Ability to work both independently and in a team environment.
Ability to write manuscripts independently.
Education & Experience 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.
Benefits The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
Employment Information Job Status: Full time Employee Type: Staff
Equal Opportunity Statement The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
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Post Doctoral Associate
role at
University of Miami .
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
Conducts research on specific areas of study as assigned.
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.
Core Qualifications 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 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 Ph.D. 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.
Duties & Responsibilities Develop and implement innovative computational approaches for analyzing high‑throughput genomic and epigenomic data, including integration, risk prediction models, and single‑cell analyses. Collaborate with faculty, biostatisticians, and bioinformaticians on translational cancer research.
Knowledge, Skills, and Abilities
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.
Ability to work both independently and in a team environment.
Ability to write manuscripts independently.
Education & Experience 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.
Benefits The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
Employment Information Job Status: Full time Employee Type: Staff
Equal Opportunity Statement The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
#J-18808-Ljbffr