Job ID: 82605
Job date: 2016-12-21
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Postdoc
Job date: 2016-12-21
End Date:
Company : Wellcome Trust Sanger Institute Country : Role : Postdoc
Job Description:
We seek a Post-Doctoral Fellow/ Computational Biologist to join the Analytical Genomics of Complex Traits team on an exciting multi-omics project to characterise the biological processes underpinning osteoarthritis progression. In this position you will take a leading scientific role in a large-scale project that will combine methylation, chromatin immunoprecipitation sequencing, capture Hi-C, RNA sequencing, quantitative proteomics and whole genome sequencing data from disease-relevant patient tissue samples. Osteoarthritis is a degenerative joint disease with substantial global health economic burden and no curative therapy, yet the underlying molecular changes are still poorly understood. To fill a fundamental gap in our understanding of disease development and progression, we are using cutting-edge technologies to generate functional genomics data to profile disease-relevant tissue from several hundred OA patients undergoing total joint replacement surgery. This includes paired intact and degraded cartilage samples, synovium, osteophytic cartilage, meniscus, endochondral bone and mesenchymal stem cells. The scale of this project provides an unprecedented opportunity to identify the genes, pathways, and biological networks that underpin osteoarthritis progression. The successful candidate will use innovative approaches within and across different molecular levels to analyse and integrate the multi-omics data. The ideal applicant will have demonstrated expertise in applying computational approaches to the analysis of genomic datasets to infer biological insights. They will join a lively international group that combines expertise in genetics, statistics, biology, and bioinformatics in a friendly environment. The ability to establish and maintain good relationships in an interdisciplinary setting is crucial. Essential Skills: -PhD in relevant discipline. -Demonstrable expertise in human genetics and genomics. -Demonstrable experience in large-scale analysis of genomics data. -Programming skills (e.g. R, perl, python). -Excellent communication skills, ability to develop good working relationships. -Demonstrable good project management and organisational skills. -Attention to detail and ability to work to tight timelines. Ideal Skills: -Track record in producing publications -Demonstrable experience in analysis method evaluation and development
Additional Info:
For any questions about the position, please contact Eleftheria Zeggini. The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus. Closing date for applications: 18th January 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.[Click Here to Access the Original Job Post]
We seek a Post-Doctoral Fellow/ Computational Biologist to join the Analytical Genomics of Complex Traits team on an exciting multi-omics project to characterise the biological processes underpinning osteoarthritis progression. In this position you will take a leading scientific role in a large-scale project that will combine methylation, chromatin immunoprecipitation sequencing, capture Hi-C, RNA sequencing, quantitative proteomics and whole genome sequencing data from disease-relevant patient tissue samples. Osteoarthritis is a degenerative joint disease with substantial global health economic burden and no curative therapy, yet the underlying molecular changes are still poorly understood. To fill a fundamental gap in our understanding of disease development and progression, we are using cutting-edge technologies to generate functional genomics data to profile disease-relevant tissue from several hundred OA patients undergoing total joint replacement surgery. This includes paired intact and degraded cartilage samples, synovium, osteophytic cartilage, meniscus, endochondral bone and mesenchymal stem cells. The scale of this project provides an unprecedented opportunity to identify the genes, pathways, and biological networks that underpin osteoarthritis progression. The successful candidate will use innovative approaches within and across different molecular levels to analyse and integrate the multi-omics data. The ideal applicant will have demonstrated expertise in applying computational approaches to the analysis of genomic datasets to infer biological insights. They will join a lively international group that combines expertise in genetics, statistics, biology, and bioinformatics in a friendly environment. The ability to establish and maintain good relationships in an interdisciplinary setting is crucial. Essential Skills: -PhD in relevant discipline. -Demonstrable expertise in human genetics and genomics. -Demonstrable experience in large-scale analysis of genomics data. -Programming skills (e.g. R, perl, python). -Excellent communication skills, ability to develop good working relationships. -Demonstrable good project management and organisational skills. -Attention to detail and ability to work to tight timelines. Ideal Skills: -Track record in producing publications -Demonstrable experience in analysis method evaluation and development
Requeriments :
Skills :
- Biology
- Computational Biology
- Genetics
- genomic
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- RNA-seq
Areas :
Additional Info:
For any questions about the position, please contact Eleftheria Zeggini. The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus. Closing date for applications: 18th January 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.[Click Here to Access the Original Job Post]