Job ID:
Job date: 2014-10-29
End Date:
Company : Oklahoma Medical Research Foundation Country : Role : Postdoc
Job date: 2014-10-29
End Date:
Company : Oklahoma Medical Research Foundation Country : Role : Postdoc
Job Description:
Discover the Difference
Public data repositories for high-throughput data (e.g., microarray, RNA-seq, methylation, CHiP-seq, etc) are growing rapidly. Our lab is interested in developing meta-analytic approaches to identifying significant trends within these databases.
We're seeking a Post-Doctoral Associate to help us to compile, normalize, quality check and analyze high-throughput data from a variety of sources, including public repositories, to better understand several biological phenomenon such as transcriptional modularity, factors that influence changes in transcriptional states and/or regulation, conditions which increase transcriptional variability and determine alternative splicing. This work has the potential to contribute to the discovery and characterization of novel genes and ncRNAs, particularly those that can potentially affect human disease.
The candidate should be familiar with methods of quality checking and processing high-throughput data (e.g., FASTQC for RNA-seq data) and will work on developing methods for meta-analysis of these data repositories. The goal of the project is to identify factors that contribute to and/or correlate with changes from healthy to disease states, and to rapidly advance our understanding of non-coding RNA biology in general via functional prediction methods. We have many collaborative projects and anticipate many opportunities for co-authorship for the candidate. The candidate should have solid programming skills and demonstrable programming experience (e.g., publications where they contributed to algorithm development). Familiarity with software and methods for processing next-generation sequencing data is greatly preferred. We have access to a strong array of analytical computing resources.
Minimal Qualifications:
Ph.D. in a quantitative discipline such as Computer Science, Bioinformatics, or in Physics/Biology with a strong quantitative background. Strong experience in writing computer programs is required, in at least one widely used programming language (e.g., Python, C++, R, Visual Basic). Strong personal initiative and the ability to work effectively as part of a team.
Preferred Qualifications:
Experience analyzing/processing next-generation sequencing data preferred. Machine learning and/or large scale data mining experience preferred. Familiarity with statistics is a plus.
Interested applicants:
Please send CV to or Contact:
Jonathan D. Wren, Ph.D.
Oklahoma Medical Research Foundation
825 N.E. 13th Street, Rm MC103
Oklahoma City, Oklahoma 73104-5005
Jonathan-Wren@OMRF.org
Please indicate "Naturejobs" in your subject heading.
We offer competitive salaries and comprehensive benefits. EOE/AA.
Oklahoma Medical Research Foundation (OMRF) ranked 3rd in nation in The Scientist magazine's 2013 listing of Best Places to Work for post-docs. Post-doctoral Fellows receive high quality mentoring in a uniquely collaborative team environment in addition to enrichment programs specifically designed to assist post-docs in achieving their career goals. Post-doctoral Fellows work in state-of-the-art laboratories, and receive comprehensive employee benefits. Oklahoma City is one of the most affordable cities in the US based on its economic prosperity, solid job market, and housing cost. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org
Additional Info:
[Click Here to Access the Original Job Post]
Discover the Difference
Public data repositories for high-throughput data (e.g., microarray, RNA-seq, methylation, CHiP-seq, etc) are growing rapidly. Our lab is interested in developing meta-analytic approaches to identifying significant trends within these databases.
We're seeking a Post-Doctoral Associate to help us to compile, normalize, quality check and analyze high-throughput data from a variety of sources, including public repositories, to better understand several biological phenomenon such as transcriptional modularity, factors that influence changes in transcriptional states and/or regulation, conditions which increase transcriptional variability and determine alternative splicing. This work has the potential to contribute to the discovery and characterization of novel genes and ncRNAs, particularly those that can potentially affect human disease.
The candidate should be familiar with methods of quality checking and processing high-throughput data (e.g., FASTQC for RNA-seq data) and will work on developing methods for meta-analysis of these data repositories. The goal of the project is to identify factors that contribute to and/or correlate with changes from healthy to disease states, and to rapidly advance our understanding of non-coding RNA biology in general via functional prediction methods. We have many collaborative projects and anticipate many opportunities for co-authorship for the candidate. The candidate should have solid programming skills and demonstrable programming experience (e.g., publications where they contributed to algorithm development). Familiarity with software and methods for processing next-generation sequencing data is greatly preferred. We have access to a strong array of analytical computing resources.
Minimal Qualifications:
Ph.D. in a quantitative discipline such as Computer Science, Bioinformatics, or in Physics/Biology with a strong quantitative background. Strong experience in writing computer programs is required, in at least one widely used programming language (e.g., Python, C++, R, Visual Basic). Strong personal initiative and the ability to work effectively as part of a team.
Preferred Qualifications:
Experience analyzing/processing next-generation sequencing data preferred. Machine learning and/or large scale data mining experience preferred. Familiarity with statistics is a plus.
Interested applicants:
Please send CV to or Contact:
Jonathan D. Wren, Ph.D.
Oklahoma Medical Research Foundation
825 N.E. 13th Street, Rm MC103
Oklahoma City, Oklahoma 73104-5005
Jonathan-Wren@OMRF.org
Please indicate "Naturejobs" in your subject heading.
We offer competitive salaries and comprehensive benefits. EOE/AA.
Oklahoma Medical Research Foundation (OMRF) ranked 3rd in nation in The Scientist magazine's 2013 listing of Best Places to Work for post-docs. Post-doctoral Fellows receive high quality mentoring in a uniquely collaborative team environment in addition to enrichment programs specifically designed to assist post-docs in achieving their career goals. Post-doctoral Fellows work in state-of-the-art laboratories, and receive comprehensive employee benefits. Oklahoma City is one of the most affordable cities in the US based on its economic prosperity, solid job market, and housing cost. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Machine Learning
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]