Job ID: NS 2017 027 LP
Job date: 2017-03-10
End Date:
Company : Imperial College London Country : Role : Research Scientist
Job date: 2017-03-10
End Date:
Company : Imperial College London Country : Role : Research Scientist
Job Description:
Applications are invited for a Research Associate position to join the Structural Bioinformatics Group, within the Department of Life Sciences based at the South Kensington Campus. The post is part of a joint UK (funded by the BBSRC) and USA (funded by the NSF) grant. Our colleagues in the USA are the group of Prof Vakser (university of Kansas) who will be using our predicted structures as the basis to predict structures for protein complexes. The post holder will work as a member of a small team that is developing methods for enhance protein structure prediction, using these methods to predict protein structures and mapping genetic variants to these structures. You must have, or have submitted, a research orientated PhD (or equivalent) involving the development and application of software to a scientific problem, ideally applied to protein structure. You will have proven programming experience that results in the development of a substantive algorithm tackling a problem modelling protein structure. You will have experience in developing high-level code to a professional standard of robustness and clarity. You will have extensive knowledge and experience in code development in C (or variants) or Python, or Perl (or very close equivalent). Experience/knowledge developing scientific software to a standard suitable for public distribution is also essential. Experience of working with protein data bank files and a successful track record in academic publication where you made a substantial contribution to the project via computational work are desirable. Experience of developing web sites for use by the scientific community, ideally in bioscience or biomedicine and experience of database development, ideally in bioscience or biomedicine, are also desirable. You must have excellent verbal and written communication skills and the ability to express scientific concepts, verbally and in writing especially computational approaches, precisely and clearly. You must be able to relate well to others, form positive relationships with a wide range of people and to work as part of a team, as well as independently, and be able to prioritise in respond to deadlines. You must have a pro-active attitude in the planning of the research work, and a creative approach to problem-solving.
Additional Info:
This is a full time position, funded by the BBSRC available for up to 30 months. Any candidate who has not been awarded their PhD, will be appointed as a Research Assistant within the salary range £31,740 - £33,370 per annum. For initial enquiries please contact Professor Michael Sternberg by email: m.sternberg@imperial.ac.uk Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number including spaces – NS 2017 027 LP Please complete and upload an application form as directed. Alternatively, if you are unable to apply online, please contact sachin.shah@imperial.ac.uk by email to request an application form. Closing date: 5 April 2017 (Midnight GMT) Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.[Click Here to Access the Original Job Post]
Applications are invited for a Research Associate position to join the Structural Bioinformatics Group, within the Department of Life Sciences based at the South Kensington Campus. The post is part of a joint UK (funded by the BBSRC) and USA (funded by the NSF) grant. Our colleagues in the USA are the group of Prof Vakser (university of Kansas) who will be using our predicted structures as the basis to predict structures for protein complexes. The post holder will work as a member of a small team that is developing methods for enhance protein structure prediction, using these methods to predict protein structures and mapping genetic variants to these structures. You must have, or have submitted, a research orientated PhD (or equivalent) involving the development and application of software to a scientific problem, ideally applied to protein structure. You will have proven programming experience that results in the development of a substantive algorithm tackling a problem modelling protein structure. You will have experience in developing high-level code to a professional standard of robustness and clarity. You will have extensive knowledge and experience in code development in C (or variants) or Python, or Perl (or very close equivalent). Experience/knowledge developing scientific software to a standard suitable for public distribution is also essential. Experience of working with protein data bank files and a successful track record in academic publication where you made a substantial contribution to the project via computational work are desirable. Experience of developing web sites for use by the scientific community, ideally in bioscience or biomedicine and experience of database development, ideally in bioscience or biomedicine, are also desirable. You must have excellent verbal and written communication skills and the ability to express scientific concepts, verbally and in writing especially computational approaches, precisely and clearly. You must be able to relate well to others, form positive relationships with a wide range of people and to work as part of a team, as well as independently, and be able to prioritise in respond to deadlines. You must have a pro-active attitude in the planning of the research work, and a creative approach to problem-solving.
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Additional Info:
This is a full time position, funded by the BBSRC available for up to 30 months. Any candidate who has not been awarded their PhD, will be appointed as a Research Assistant within the salary range £31,740 - £33,370 per annum. For initial enquiries please contact Professor Michael Sternberg by email: m.sternberg@imperial.ac.uk Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number including spaces – NS 2017 027 LP Please complete and upload an application form as directed. Alternatively, if you are unable to apply online, please contact sachin.shah@imperial.ac.uk by email to request an application form. Closing date: 5 April 2017 (Midnight GMT) Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.[Click Here to Access the Original Job Post]