Job ID:
Job date: 2014-10-02
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Research Scientist
Job date: 2014-10-02
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Research Scientist
Job Description:
Senior Bioinformatician – Sequence Variation Infrastructure Salary £30,196 to £38,088 per annum dependent on experience Fixed Term Contract – 3 years Seeking an experience Senior Bioinformatician to develop new computational methods to use BWT reference-free structures to rapidly genotype newly sequenced human genomes. The Sequence Variation Infrastructure teams is involved in some of the largest human and mouse genome sequencing projects. In the coming years, we are interested in applying novel comparative genomics representations, such as BWT based compressed storage (1), HAL representation of multiple aligned genomes (2), and scalable noSQL key-value databases to make it possible to make very fast queries across thousands of human genomes. We have recently applied these technologies in proof-of-principle datasets from the 1000 genomes project (3) and are now seeking an experienced Senior Bioinformatician or programmer to further develop methods to carry out carry out tasks such as rapid genotyping of newly sequenced human genomes for known SNPs, indels, and structural variants. The Wellcome Trust Sanger Institute is a world leader in delivering large scale genome sequencing projects using the latest sequencing technologies. The Sequence Variation Infrastructure team work as part of the Computational Genomics programme with responsibility for development of highly used next-generation sequencing software packages (e.g. Samtools), development of systems to query across large volumes of sequencing data, are members of the Global Alliance for Genomics and Health (http://genomicsandhealth.org/) data working group, and lead the Mouse Genomes Project (http://www.sanger.ac.uk/resources/mouse/genomes/). This project will be carried out in conjunction with the Vertebrate Resequencing Informatics team who are involved in data processing and analysis for several large human sequencing studies such as the 1000 Genomes, UK10K, and Haplotype Reference Consortium. This role would suit somebody with some previous exposure to bioinformatics methods development or a scientific programmer with previous experience in a high performance computing environment who wishes to gain direct knowledge of next-generation sequencing technologies and analysis. The successful candidate will work closely with two established teams of analysts and developers so previous experience with next-generation sequencing data is advantageous but not strictly necessary 1. Simpson, J. T. et al. (2011) Genome Research, 22(3):549-56 2. Hickey, G. et al. (2013) Bioinformatics, 29:1341–1342 3. Liu, Zhicheng; McCarthy, Shane; Simpson, Jared; Iqbal, Zamin; Keane, Thomas; Durbin, Richard (2014): Using BWT structures for reference-free querying of the 1000 Genomes sequence data. figshare.http://dx.doi.org/10.6084/m9.figshare.1080768 Essential Skills • Phd degree in a computational science (or equivalent industry experience) • Evidence of proficiency in computer program design and implementation in a modern programming language (e.g. Perl, Java, C, C++, Python etc.) • Ability to quickly adapt to new problems and ideas • Excellent problem-solving skills • Experience with managing large volumes of data Ideal Skills • Experience with running software on a compute farm or cluster • Experience of analysing data from multiple sequencing technologies • Previous experience of developing computational methods to solve complex scientific problems • Relational or noSQL database design and manipulation • A high level of communication skills to be able to elicit complex requirements from, and convey complex information to, groups with different levels of technical knowledge Other information The Genome Campus is a 100-acre estate south of Cambridge in the grounds of Hinxton Hall and is home to the Wellcome Trust Sanger Institute and the European Bioinformatics Institute (EBI). The site has become the British hub of biomedical science. The Campus is also home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre. In addition to its peaceful location the campus offers excellent facilities including a start of the art data centre, gym, two cafes, a nursery, dining facilities, a cycle to work scheme, car sharing and free campus buses from various locations around Cambridge. Learning, development and networking are other important aspects of life on campus. There are a range of scientific seminars with our own and invited speakers, scientific group meetings and skills development workshops. Our benefits package includes 25 days annual leave (increasing 1 day for every year’s service to a maximum of 30 days), premier private healthcare and a defined benefits pension scheme. Apply online submitting a CV and covering letter. Closing Date for applications: 26th October 2014
Additional Info:
[Click Here to Access the Original Job Post]
Senior Bioinformatician – Sequence Variation Infrastructure Salary £30,196 to £38,088 per annum dependent on experience Fixed Term Contract – 3 years Seeking an experience Senior Bioinformatician to develop new computational methods to use BWT reference-free structures to rapidly genotype newly sequenced human genomes. The Sequence Variation Infrastructure teams is involved in some of the largest human and mouse genome sequencing projects. In the coming years, we are interested in applying novel comparative genomics representations, such as BWT based compressed storage (1), HAL representation of multiple aligned genomes (2), and scalable noSQL key-value databases to make it possible to make very fast queries across thousands of human genomes. We have recently applied these technologies in proof-of-principle datasets from the 1000 genomes project (3) and are now seeking an experienced Senior Bioinformatician or programmer to further develop methods to carry out carry out tasks such as rapid genotyping of newly sequenced human genomes for known SNPs, indels, and structural variants. The Wellcome Trust Sanger Institute is a world leader in delivering large scale genome sequencing projects using the latest sequencing technologies. The Sequence Variation Infrastructure team work as part of the Computational Genomics programme with responsibility for development of highly used next-generation sequencing software packages (e.g. Samtools), development of systems to query across large volumes of sequencing data, are members of the Global Alliance for Genomics and Health (http://genomicsandhealth.org/) data working group, and lead the Mouse Genomes Project (http://www.sanger.ac.uk/resources/mouse/genomes/). This project will be carried out in conjunction with the Vertebrate Resequencing Informatics team who are involved in data processing and analysis for several large human sequencing studies such as the 1000 Genomes, UK10K, and Haplotype Reference Consortium. This role would suit somebody with some previous exposure to bioinformatics methods development or a scientific programmer with previous experience in a high performance computing environment who wishes to gain direct knowledge of next-generation sequencing technologies and analysis. The successful candidate will work closely with two established teams of analysts and developers so previous experience with next-generation sequencing data is advantageous but not strictly necessary 1. Simpson, J. T. et al. (2011) Genome Research, 22(3):549-56 2. Hickey, G. et al. (2013) Bioinformatics, 29:1341–1342 3. Liu, Zhicheng; McCarthy, Shane; Simpson, Jared; Iqbal, Zamin; Keane, Thomas; Durbin, Richard (2014): Using BWT structures for reference-free querying of the 1000 Genomes sequence data. figshare.http://dx.doi.org/10.6084/m9.figshare.1080768 Essential Skills • Phd degree in a computational science (or equivalent industry experience) • Evidence of proficiency in computer program design and implementation in a modern programming language (e.g. Perl, Java, C, C++, Python etc.) • Ability to quickly adapt to new problems and ideas • Excellent problem-solving skills • Experience with managing large volumes of data Ideal Skills • Experience with running software on a compute farm or cluster • Experience of analysing data from multiple sequencing technologies • Previous experience of developing computational methods to solve complex scientific problems • Relational or noSQL database design and manipulation • A high level of communication skills to be able to elicit complex requirements from, and convey complex information to, groups with different levels of technical knowledge Other information The Genome Campus is a 100-acre estate south of Cambridge in the grounds of Hinxton Hall and is home to the Wellcome Trust Sanger Institute and the European Bioinformatics Institute (EBI). The site has become the British hub of biomedical science. The Campus is also home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre. In addition to its peaceful location the campus offers excellent facilities including a start of the art data centre, gym, two cafes, a nursery, dining facilities, a cycle to work scheme, car sharing and free campus buses from various locations around Cambridge. Learning, development and networking are other important aspects of life on campus. There are a range of scientific seminars with our own and invited speakers, scientific group meetings and skills development workshops. Our benefits package includes 25 days annual leave (increasing 1 day for every year’s service to a maximum of 30 days), premier private healthcare and a defined benefits pension scheme. Apply online submitting a CV and covering letter. Closing Date for applications: 26th October 2014
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Database design
- Genome Assembly
- Lunix/Unix
- Modeling
- Next Generation Sequencing
- Population Genetics
- Programing in Python
- Programing Skills
- Programming in R
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]