Job ID: 537457941
Job date: 2018-01-18
End Date:
Company : University of Virginia Country : Role : Postdoc
Job date: 2018-01-18
End Date:
Company : University of Virginia Country : Role : Postdoc
Job Description:
The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position in computational biology in the lab of Dr. Chongzhi Zang. To qualify for this position, a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Physical Sciences, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field in hand is required by start date. A successful candidate must have strong programming skills in Python (or C/C++) & R, a strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., next-generation sequencing analysis, etc.). Excellent oral and written communication skills and the ability to work in a team environment are also required. A publication record of at least one first-author (including co-first author) paper written in English in the previous area of research (not necessarily computational biology) in peer-reviewed journals or conference proceedings with submitted, accepted or published status, is required at the time of application.
Additional Info:
The research in the Zang Lab focuses on developing computational methodologies and designing integrative genomics approaches to study epigenetics and transcriptional regulation of gene expression. Representative projects include: develop novel algorithms for analyzing next-generation sequencing data (e.g. ChIP-seq, ATAC-seq, RNA-seq); design model-based machine-learning or statistical approaches for cross-platform data integration to infer gene regulatory networks; analyze public genomic data to characterize physical and dynamic properties of chromatin epigenomes in mammalian cells and cancer systems. More information on research directions and previous publications can be found at: http://faculty.virginia.edu/zanglab.[Click Here to Access the Original Job Post]
The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position in computational biology in the lab of Dr. Chongzhi Zang. To qualify for this position, a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Physical Sciences, Applied Mathematics, Statistics, Computer Science, Engineering, or a related field in hand is required by start date. A successful candidate must have strong programming skills in Python (or C/C++) & R, a strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., next-generation sequencing analysis, etc.). Excellent oral and written communication skills and the ability to work in a team environment are also required. A publication record of at least one first-author (including co-first author) paper written in English in the previous area of research (not necessarily computational biology) in peer-reviewed journals or conference proceedings with submitted, accepted or published status, is required at the time of application.
Requeriments :
Skills :
- genomic
- Machine Learning
- Modeling
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in R
- Statistics
Areas :
Additional Info:
The research in the Zang Lab focuses on developing computational methodologies and designing integrative genomics approaches to study epigenetics and transcriptional regulation of gene expression. Representative projects include: develop novel algorithms for analyzing next-generation sequencing data (e.g. ChIP-seq, ATAC-seq, RNA-seq); design model-based machine-learning or statistical approaches for cross-platform data integration to infer gene regulatory networks; analyze public genomic data to characterize physical and dynamic properties of chromatin epigenomes in mammalian cells and cancer systems. More information on research directions and previous publications can be found at: http://faculty.virginia.edu/zanglab.[Click Here to Access the Original Job Post]