Job ID: 4194
Job date: 2015-09-01
End Date:
Company : University of Pennsylvania Country : Role : Postdoc
Job date: 2015-09-01
End Date:
Company : University of Pennsylvania Country : Role : Postdoc
Job Description:
CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities. CHOP is an interdisciplinary institution dedicated to conducting basic, clinical and translational research with a particular focus on conditions that affect children.
The Tan research group (http://www.healthcare.uiowa.edu/labs/tan/) is interdisciplinary and highly collaborative, utilizing both computational and experimental approaches to study gene regulation. We have pioneered multiple computational algorithms for regulatory genomics, epigenomics, and network biology. The candidate will work on developing computational algorithms for cancer regulatory genomics and epigenomics. Specific projects in these two laboratories will be defined by the candidate (and based on the candidates expertise) and with input from Dr. Tan and our close collaborators at the Center for Childhood Cancer Research CHOP and Abramson Cancer Center at the University of Pennsylvania. The desired candidate must have a terminal degree (PhD) in computational biology, computer science, statistics, mathematics or related field with a strong understanding of biology. The postdoctoral fellow will be responsible for development of novel computational algorithms and integrative analysis of high-dimensional datasets, focused on generating insights into how mutations in regulatory DNA sequences contribute to oncogenesis. The postdoc experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research, and will contribute directly to the overall research goals of the research group. Postdocs will be expected to participate in project planning, bioinformatics recording and interpretation/evaluation of data, and communication of results.
Requirements:
•PhD in computational biology, computational science, statistics, or mathematics, engineering, genomics/genetics or related fields
•UNIX/LINUX and high performance computing experience
•Exhibited knowledge of statistics and probability important to bioinformatics research
•Proficiency in R or similar commonly used statistical languages
•Basic proficiency with Python, Perl, or other languages
•Strong understanding of cancer molecular biology and genetics
•Exhibited knowledge of biological network analysis
•Values research integrity and collaborative research
•Strong research skills
•Effective problem solving/critical thinking skills
•Ability to work independently and with a strong work ethic
•High level of motivation
•Excellent communication/interpersonal skills
•Ability to exercise discretion and judgment
Job Information
Position Type: Post-Doctoral Scholar
Start Date: January 01, 2016
Duration: Full Time
Status: open
Contact Information
CHOP/Univ. of Pennsylvania
Kai Tan
ktancd@gmail.com
How To Apply:Please email CV, personal statement and arrange for three letters of recommendation to be sent directly to Dr. Kai Tan.
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Postdoc in cancer regulatory genomicsCHOP/Univ. of PennsylvaniaUSA-PA-Philadelphia A postdoctoral fellow position is open in the Tan research group in the Departments of Pediatrics and Biomedical and Health Informatics (DBHI) at the Children’s Hospital of Philadelphia (CHOP). Dr. Tan is an associate professor of Pediatrics and Biomedical and Health Informatics.CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities. CHOP is an interdisciplinary institution dedicated to conducting basic, clinical and translational research with a particular focus on conditions that affect children.
The Tan research group (http://www.healthcare.uiowa.edu/labs/tan/) is interdisciplinary and highly collaborative, utilizing both computational and experimental approaches to study gene regulation. We have pioneered multiple computational algorithms for regulatory genomics, epigenomics, and network biology. The candidate will work on developing computational algorithms for cancer regulatory genomics and epigenomics. Specific projects in these two laboratories will be defined by the candidate (and based on the candidates expertise) and with input from Dr. Tan and our close collaborators at the Center for Childhood Cancer Research CHOP and Abramson Cancer Center at the University of Pennsylvania. The desired candidate must have a terminal degree (PhD) in computational biology, computer science, statistics, mathematics or related field with a strong understanding of biology. The postdoctoral fellow will be responsible for development of novel computational algorithms and integrative analysis of high-dimensional datasets, focused on generating insights into how mutations in regulatory DNA sequences contribute to oncogenesis. The postdoc experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research, and will contribute directly to the overall research goals of the research group. Postdocs will be expected to participate in project planning, bioinformatics recording and interpretation/evaluation of data, and communication of results.
Requirements:
•PhD in computational biology, computational science, statistics, or mathematics, engineering, genomics/genetics or related fields
•UNIX/LINUX and high performance computing experience
•Exhibited knowledge of statistics and probability important to bioinformatics research
•Proficiency in R or similar commonly used statistical languages
•Basic proficiency with Python, Perl, or other languages
•Strong understanding of cancer molecular biology and genetics
•Exhibited knowledge of biological network analysis
•Values research integrity and collaborative research
•Strong research skills
•Effective problem solving/critical thinking skills
•Ability to work independently and with a strong work ethic
•High level of motivation
•Excellent communication/interpersonal skills
•Ability to exercise discretion and judgment
Job Information
Position Type: Post-Doctoral Scholar
Start Date: January 01, 2016
Duration: Full Time
Status: open
Contact Information
CHOP/Univ. of Pennsylvania
Kai Tan
ktancd@gmail.com
How To Apply:Please email CV, personal statement and arrange for three letters of recommendation to be sent directly to Dr. Kai Tan.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]