Job ID:
Job date: 2014-10-02
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Postdoc
Job date: 2014-10-02
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Postdoc
Job Description:
Salary range: £29829 to £37393 per annum dependent on experience plus excellent benefits An exciting opportunity has arisen for a Postdoctoral Fellow to undertake research in the development of novel mathematical and computational methods for understanding gene expression. This could involve transcription factor binding, epigenomic landscapes, RNA folding, or stochastic models of gene expression. The successful candidate will be required to develop into a software package a mathematical/statistical/computational framework that can be used by the wider scientific community. Processing and analysing of large complex sets of data are an essential element of this role as is being able to work with tight deadlines and changing priorities. The postholder must also be adept at working within a team and the wider Scientific community. Technological advances in recent years have transformed molecular biology by providing large amounts of high-throughput data, such as bisulfide sequencing, ChIP-seq, RNA-seq, mass-spec, and many others. These data sets open up new and exciting possibilities to develop quantitative models of gene regulation. Quantitative models will help further our understanding of the basic mechanisms of gene regulation, and they will also be of critical importance for researchers developing novel treatments for the many diseases (including cancer and many neurological disorders) where aberrant gene regulation is a causal factor. Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. The post is a three year fixed-term contract. Essential Skills
Additional Info:
[Click Here to Access the Original Job Post]
Salary range: £29829 to £37393 per annum dependent on experience plus excellent benefits An exciting opportunity has arisen for a Postdoctoral Fellow to undertake research in the development of novel mathematical and computational methods for understanding gene expression. This could involve transcription factor binding, epigenomic landscapes, RNA folding, or stochastic models of gene expression. The successful candidate will be required to develop into a software package a mathematical/statistical/computational framework that can be used by the wider scientific community. Processing and analysing of large complex sets of data are an essential element of this role as is being able to work with tight deadlines and changing priorities. The postholder must also be adept at working within a team and the wider Scientific community. Technological advances in recent years have transformed molecular biology by providing large amounts of high-throughput data, such as bisulfide sequencing, ChIP-seq, RNA-seq, mass-spec, and many others. These data sets open up new and exciting possibilities to develop quantitative models of gene regulation. Quantitative models will help further our understanding of the basic mechanisms of gene regulation, and they will also be of critical importance for researchers developing novel treatments for the many diseases (including cancer and many neurological disorders) where aberrant gene regulation is a causal factor. Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. The post is a three year fixed-term contract. Essential Skills
- PhD in mathematics, statistics, computer science, biology or physical sciences
- Ability to work as part of a team
- Good programming skills
- Experience in mathematical modelling
- Good communication skills
- Motivation to learn about genomics and molecular biology
- Experience in bioinformatics and analysis of next generation sequencing data
- Knowledge of genomics and molecular biology
Requeriments :
Skills :
- Bioinformatics
- Genetics
- Genome Assembly
- Modeling
- Next Generation Sequencing
- Programing Skills
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]