Job ID:
Job date: 2015-01-23
End Date:
Company : Imperial College London · Department of Medicine Country : Role : Postdoc
Job date: 2015-01-23
End Date:
Company : Imperial College London · Department of Medicine Country : Role : Postdoc
Job Description:
Department of Epidemiology and Biostatistics, School of Public Health and Institute of Clinical Sciences
MRC Intermediate Research Fellows in Computational Biology / Medical Bioinformatics / Biostatistics x2
Salary Range: £33,410 to £39,100 p.a.
UK MED-BIO is a recent major MRC medical informatics initiative led by Imperial College London. The aim of this programme is to bring together patient/cohort data, new omics technologies, computing and other resources, with dedicated infrastructure in data management, integration, analysis and visualisation, to enable major advances in understanding the aetiopathogenesis of chronic human diseases, and the gene-environment-microbiome interactions that underpin them.
As part of the MRC Medical Informatics UK MED-BIO programme, we are seeking to appoint two talented intermediate fellows in computational biology/ medical bioinformatics/ biostatistics to support this ambitious programme of work.
Appointments will be based on research excellence and track records, equally though we will look to appoint individuals with a background in physical or mathematical sciences or in information technology, who wish to apply their expertise to understanding the aetiology, pathogenesis, pathways and mechanisms of chronic human disease. The appointees will have the opportunity to spend up to 1 year in a second research centre or UK industrial centre.
Successful candidates are expected to develop their own competitive independent research programmes, submit to major funders a coherent competitive proposal, and to support their research programme and the next stage of their career development in either a senior fellowship or substantive post.
A rigorous and thorough selection procedure akin to MRC Strategic Skills - Biomedical Informatics Fellowship scheme will be adopted.
The posts are full time for a fixed term of up to 60 months (up to 31 March 2020).
The fellowship programme will be based at Imperial College London. For further information and an informal discussion contact Mr Chun Siew (c.siew@imperial.ac.uk). For formal discussion please contact Professor Paul Elliott (p.elliott@imperial.ac.uk) or Dr Korbinian Strimmer (k.strimmer@imperial.ac.uk).
Our preferred method of application is via the "Apply Through Website" button (for employment at Imperial College London). Please complete and upload an application form as directed.
Reference number: SM274-14
Closing date: 31st March 2015
Interviews will be in early April 2015
Desired skills and experience
Applicants should hold a PhD or equivalent in one of the key areas listed in the previous section.
About the employer
Imperial Managers lead by example.
Committed to equality and valuing diversity. We are also an Athena Silver SWAN Award winner, a Stonewall Diversity Champion and a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.
Additional Info:
[Click Here to Access the Original Job Post]
Department of Epidemiology and Biostatistics, School of Public Health and Institute of Clinical Sciences
MRC Intermediate Research Fellows in Computational Biology / Medical Bioinformatics / Biostatistics x2
Salary Range: £33,410 to £39,100 p.a.
UK MED-BIO is a recent major MRC medical informatics initiative led by Imperial College London. The aim of this programme is to bring together patient/cohort data, new omics technologies, computing and other resources, with dedicated infrastructure in data management, integration, analysis and visualisation, to enable major advances in understanding the aetiopathogenesis of chronic human diseases, and the gene-environment-microbiome interactions that underpin them.
As part of the MRC Medical Informatics UK MED-BIO programme, we are seeking to appoint two talented intermediate fellows in computational biology/ medical bioinformatics/ biostatistics to support this ambitious programme of work.
Appointments will be based on research excellence and track records, equally though we will look to appoint individuals with a background in physical or mathematical sciences or in information technology, who wish to apply their expertise to understanding the aetiology, pathogenesis, pathways and mechanisms of chronic human disease. The appointees will have the opportunity to spend up to 1 year in a second research centre or UK industrial centre.
Successful candidates are expected to develop their own competitive independent research programmes, submit to major funders a coherent competitive proposal, and to support their research programme and the next stage of their career development in either a senior fellowship or substantive post.
A rigorous and thorough selection procedure akin to MRC Strategic Skills - Biomedical Informatics Fellowship scheme will be adopted.
The posts are full time for a fixed term of up to 60 months (up to 31 March 2020).
The fellowship programme will be based at Imperial College London. For further information and an informal discussion contact Mr Chun Siew (c.siew@imperial.ac.uk). For formal discussion please contact Professor Paul Elliott (p.elliott@imperial.ac.uk) or Dr Korbinian Strimmer (k.strimmer@imperial.ac.uk).
Our preferred method of application is via the "Apply Through Website" button (for employment at Imperial College London). Please complete and upload an application form as directed.
Reference number: SM274-14
Closing date: 31st March 2015
Interviews will be in early April 2015
Desired skills and experience
Applicants should hold a PhD or equivalent in one of the key areas listed in the previous section.
About the employer
Imperial Managers lead by example.
Committed to equality and valuing diversity. We are also an Athena Silver SWAN Award winner, a Stonewall Diversity Champion and a Two Ticks Employer and are working in partnership with GIRES to promote respect for trans people.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]