Applications are invited for a skilled and motivated bioinformatics programmer to join the Imperial BRC Genomics Facility on the Hammersmith Campus of Imperial College London.
The Imperial BRC Genomics Facility provides state-of-the-art laboratory and computational support for translational research that harnesses genome information to advance disease diagnostics, prognosis and treatment. The facility provides access to the latest next-generation sequencing (NGS) platforms including the Illumina HiSeq 2500 and Illumina MiSeq. It is responsible for the management and processing of NGS data and carries out bioinformatics analysis of large-scale genomic data sets. It develops and maintains computational pipelines for NGS data processing and analysis utilising cutting edge bioinformatics tools and high-performance computing resources.
You will implement, maintain and operate data management and processing pipelines for next-generation sequencing data generated by the facility. You will work closely with other bioinformaticians in the facility and with staff at the Imperial High Performance Computing Service and Data Centre.
You will have a degree (or equivalent) in bioinformatics, computer science or a closely related discipline and a good understanding of the application of genome technologies and bioinformatics in the context of genomics and genetics. You should have practical experience with the programmatic processing of large genomic, preferably next-generation sequencing datasets in a Unix/Linux environment including knowledge of relevant data formats and analysis tools.
Advanced skills in a scripting language such as Perl or Python and shell scripting are a requirement. Experience with working in a high-performance computing environment is desirable; as well as experience with the development of web-based applications or programming in Java.
For more details and to apply for this post please visit https://www4.ad.ic.ac.uk:443/OA_HTML...p_lang_code=US
For more information on the Imperial BRC Genomics facility please visit www.imperial.ac.uk/clinicalgenomeinformatics and www.imperial.ac.uk/clinicalgenomelaboratory.
The Imperial BRC Genomics Facility provides state-of-the-art laboratory and computational support for translational research that harnesses genome information to advance disease diagnostics, prognosis and treatment. The facility provides access to the latest next-generation sequencing (NGS) platforms including the Illumina HiSeq 2500 and Illumina MiSeq. It is responsible for the management and processing of NGS data and carries out bioinformatics analysis of large-scale genomic data sets. It develops and maintains computational pipelines for NGS data processing and analysis utilising cutting edge bioinformatics tools and high-performance computing resources.
You will implement, maintain and operate data management and processing pipelines for next-generation sequencing data generated by the facility. You will work closely with other bioinformaticians in the facility and with staff at the Imperial High Performance Computing Service and Data Centre.
You will have a degree (or equivalent) in bioinformatics, computer science or a closely related discipline and a good understanding of the application of genome technologies and bioinformatics in the context of genomics and genetics. You should have practical experience with the programmatic processing of large genomic, preferably next-generation sequencing datasets in a Unix/Linux environment including knowledge of relevant data formats and analysis tools.
Advanced skills in a scripting language such as Perl or Python and shell scripting are a requirement. Experience with working in a high-performance computing environment is desirable; as well as experience with the development of web-based applications or programming in Java.
For more details and to apply for this post please visit https://www4.ad.ic.ac.uk:443/OA_HTML...p_lang_code=US
For more information on the Imperial BRC Genomics facility please visit www.imperial.ac.uk/clinicalgenomeinformatics and www.imperial.ac.uk/clinicalgenomelaboratory.