Job Description:
BACKGROUND Two bioinformatic postdoctoral positions are available at the Johns Hopkins University School of Medicine working with Drs. Jiang Qian. We are interested in developing and applying computational approaches to the studies of gene regulation, with an emphasis on construction of regulation networks by data integration. We have been working on a variety of projects, including identification of protein-DNA interactions (Cell, 2009; eLife, 2013), characterization of transcription factor-microRNA interaction patterns (NAR, 2008), analysis of gene expression in different tissues (Nature Neuroscience, 2010), determination of dynamics of splicing events during development (NAR, 2011), DNA methylation and tissue specific expression (NAR, 2013; Epigenetics & Chromatin, 2013), and DNA methylation and eye disease (Arch Ophthalmol, 2012; Cell Rep, 2013). For more details of our research, please visit (http://bioinfo.wilmer.jhu.edu). The successful candidates will work on projects of dys-regulated networks in human diseases by integrating various genomic datasets. REQUIREMENTS Successful candidates should be highly innovative and motivated individuals with strong programming skills and a background in statistics. The ideal applicant would have already had some experience in bioinformatics. However, a non-biological background with strong training in another area of science (e.g., physics or statistics) would also be appropriate. HOW TO APPLY Applicants should forward a CV, and the names and contact information of 3 references to Dr. Jiang Qian (jiang.qian@jhmi.edu)….
Additional Info:
Successful candidates should be highly innovative and motivated individuals with strong programming skills and a background in statistics. The ideal applicant would have already had some experience in bioinformatics. However, a non-biological background with strong training in another area of science (e.g., physics or statistics) would also be appropriate.[Click Here to Access the Original Job Post]
BACKGROUND Two bioinformatic postdoctoral positions are available at the Johns Hopkins University School of Medicine working with Drs. Jiang Qian. We are interested in developing and applying computational approaches to the studies of gene regulation, with an emphasis on construction of regulation networks by data integration. We have been working on a variety of projects, including identification of protein-DNA interactions (Cell, 2009; eLife, 2013), characterization of transcription factor-microRNA interaction patterns (NAR, 2008), analysis of gene expression in different tissues (Nature Neuroscience, 2010), determination of dynamics of splicing events during development (NAR, 2011), DNA methylation and tissue specific expression (NAR, 2013; Epigenetics & Chromatin, 2013), and DNA methylation and eye disease (Arch Ophthalmol, 2012; Cell Rep, 2013). For more details of our research, please visit (http://bioinfo.wilmer.jhu.edu). The successful candidates will work on projects of dys-regulated networks in human diseases by integrating various genomic datasets. REQUIREMENTS Successful candidates should be highly innovative and motivated individuals with strong programming skills and a background in statistics. The ideal applicant would have already had some experience in bioinformatics. However, a non-biological background with strong training in another area of science (e.g., physics or statistics) would also be appropriate. HOW TO APPLY Applicants should forward a CV, and the names and contact information of 3 references to Dr. Jiang Qian (jiang.qian@jhmi.edu)….
Skills :
- Bioinformatics
- Computational Biology
- Modeling
- Next Generation Sequencing
- Programing Skills
- Signaling Network Inference
- Systems Biology
Areas :
Additional Info:
Successful candidates should be highly innovative and motivated individuals with strong programming skills and a background in statistics. The ideal applicant would have already had some experience in bioinformatics. However, a non-biological background with strong training in another area of science (e.g., physics or statistics) would also be appropriate.[Click Here to Access the Original Job Post]