Job ID: 044246
Job date: 2018-06-25
End Date: 2018-07-24
Company : University of Edinburgh Country : United Kingdom Role : Research Scientist
Job date: 2018-06-25
End Date: 2018-07-24
Company : University of Edinburgh Country : United Kingdom Role : Research Scientist
Job Description:
A post for a person with a strong background in machine learning, bioinformatics or related disciplines with an interest in applying deep learning approaches to the area of functional genomics and health is available at Albert Tenesa’s group (https://www.ed.ac.uk/mrc-human-genetics-unit/research/tenesa-group) at the MRC-Human Genetics Unit. The group is embedded within the Biomedical Genomics Section at MRC-Human Genetics Unit and the Division of Genetics and Genomics at the Roslin Institute, both within the University of Edinburgh. The main aim of the project is to develop and apply deep learning approaches to understand how regulatory elements and genetic variation affect gene expression and how to predict gene expression levels from sequence and functional data. The project is part of a larger research initiative within the Scottish Health Data Research UK Substantive Site (https://www.hdruk.ac.uk). We aim to predict low level phenotypes such as gene expression, how dysregulation of those phenotypes leads to disease, and to develop the tools required to do this to a standard that can be used by others. The post holder must have a PhD in a discipline in machine learning, bioinformatics, mathematics or equivalent level of professional experience. The ideal candidate will: -Have experience in functional genomics or bioinformatics. -Be proficient in machine learning methodology, in particular, have experience developing and applying Deep Learning. -Be a proficient programmer in languages appropriate for scientific computing (e.g. C, C++ or Python programming) and have experience in software development. Working knowledge of Tensorflow, Pytorch or similar Deep Learning frameworks would be an advantage. -Have strong and sustained evidence of publishing their work in peer-reviewed journals. -Be able to communicate science both through oral presentations and writing scientific papers. - Be a team player.
Additional Info:
Location: Edinburgh Salary: £32,548 to £38,833 Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 25th June 2018 Closes: 24th July 2018 Job Ref: 044246 [Click Here to Access the Original Job Post]
A post for a person with a strong background in machine learning, bioinformatics or related disciplines with an interest in applying deep learning approaches to the area of functional genomics and health is available at Albert Tenesa’s group (https://www.ed.ac.uk/mrc-human-genetics-unit/research/tenesa-group) at the MRC-Human Genetics Unit. The group is embedded within the Biomedical Genomics Section at MRC-Human Genetics Unit and the Division of Genetics and Genomics at the Roslin Institute, both within the University of Edinburgh. The main aim of the project is to develop and apply deep learning approaches to understand how regulatory elements and genetic variation affect gene expression and how to predict gene expression levels from sequence and functional data. The project is part of a larger research initiative within the Scottish Health Data Research UK Substantive Site (https://www.hdruk.ac.uk). We aim to predict low level phenotypes such as gene expression, how dysregulation of those phenotypes leads to disease, and to develop the tools required to do this to a standard that can be used by others. The post holder must have a PhD in a discipline in machine learning, bioinformatics, mathematics or equivalent level of professional experience. The ideal candidate will: -Have experience in functional genomics or bioinformatics. -Be proficient in machine learning methodology, in particular, have experience developing and applying Deep Learning. -Be a proficient programmer in languages appropriate for scientific computing (e.g. C, C++ or Python programming) and have experience in software development. Working knowledge of Tensorflow, Pytorch or similar Deep Learning frameworks would be an advantage. -Have strong and sustained evidence of publishing their work in peer-reviewed journals. -Be able to communicate science both through oral presentations and writing scientific papers. - Be a team player.
Requeriments :
Skills :
- Bioinformatics
- genomic
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Software Design
Areas :
Additional Info:
Location: Edinburgh Salary: £32,548 to £38,833 Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 25th June 2018 Closes: 24th July 2018 Job Ref: 044246 [Click Here to Access the Original Job Post]