Job ID: PR14699
Job date: 2018-02-03
End Date:
Company : University of Cambridge Country : Role : Research Scientist
Job date: 2018-02-03
End Date:
Company : University of Cambridge Country : Role : Research Scientist
Job Description:
The Wellcome Trust/Cancer Research UK Gurdon Institute is seeking a person to join our Core Bioinformatics team. The successful applicant will work collaboratively with scientists engaged in cutting edge research in nuclear reprogramming, stem cell biology, embryo development, gene expression control, cancer, and DNA replication and repair. The post will involve computational analyses of a range of different data types, including RNA-seq in single cells, cultured cells and tissues, chromatin immunoprecipitation, ATAC-seq, Hi-C, and mutation detection, and could include the development of new methods. A description of our research can be found at http://www.gurdon.cam.ac.uk/research. The person appointed should have a PhD or equivalent relevant expertise and the ability to communicate computational analyses with wet-lab biologists. Applicants should have a solid understanding of molecular biology and experience of computational techniques used in the analysis of biological data, as well as an understanding of statistical methods and their application to large data sets. Expertise in the analysis of Illumina sequence data is essential.
Additional Info:
The Wellcome Trust/Cancer Research UK Gurdon Institute is in the heart of the city of Cambridge, and part of the University's School of Biological Sciences. It is a world-renowned centre in developmental and cellular biology and cancer research. Supported by funding from the Wellcome Trust and Cancer Research UK, it benefits from state-of-the-art core facilities, including bioinformatics. It provides the best atmosphere for research and a vibrant environment that facilitates the interactions and collaborations between scientists within the Centre and within Cambridge. Limited funding: The funds for this post are available until 30 November 2021 in the first instance. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/16542. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Informal enquiries can be addressed to Alex Sossick (a.sossick@gurdon.cam.ac.uk). Please quote reference PR14699 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Benefits include generous maternity/paternity leave, flexible working and funds for returning carers and other family-friendly schemes. The Gurdon Institute is committed to equality and diversity in the workplace, for more information go to https://www.gurdon.cam.ac.uk/about/athenaswan.[Click Here to Access the Original Job Post]
The Wellcome Trust/Cancer Research UK Gurdon Institute is seeking a person to join our Core Bioinformatics team. The successful applicant will work collaboratively with scientists engaged in cutting edge research in nuclear reprogramming, stem cell biology, embryo development, gene expression control, cancer, and DNA replication and repair. The post will involve computational analyses of a range of different data types, including RNA-seq in single cells, cultured cells and tissues, chromatin immunoprecipitation, ATAC-seq, Hi-C, and mutation detection, and could include the development of new methods. A description of our research can be found at http://www.gurdon.cam.ac.uk/research. The person appointed should have a PhD or equivalent relevant expertise and the ability to communicate computational analyses with wet-lab biologists. Applicants should have a solid understanding of molecular biology and experience of computational techniques used in the analysis of biological data, as well as an understanding of statistical methods and their application to large data sets. Expertise in the analysis of Illumina sequence data is essential.
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Additional Info:
The Wellcome Trust/Cancer Research UK Gurdon Institute is in the heart of the city of Cambridge, and part of the University's School of Biological Sciences. It is a world-renowned centre in developmental and cellular biology and cancer research. Supported by funding from the Wellcome Trust and Cancer Research UK, it benefits from state-of-the-art core facilities, including bioinformatics. It provides the best atmosphere for research and a vibrant environment that facilitates the interactions and collaborations between scientists within the Centre and within Cambridge. Limited funding: The funds for this post are available until 30 November 2021 in the first instance. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/16542. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form. Informal enquiries can be addressed to Alex Sossick (a.sossick@gurdon.cam.ac.uk). Please quote reference PR14699 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Benefits include generous maternity/paternity leave, flexible working and funds for returning carers and other family-friendly schemes. The Gurdon Institute is committed to equality and diversity in the workplace, for more information go to https://www.gurdon.cam.ac.uk/about/athenaswan.[Click Here to Access the Original Job Post]