Job ID: MED00372
Job date: 2018-03-05
End Date:
Company : Imperial College London Country : Role : Research Scientist
Job date: 2018-03-05
End Date:
Company : Imperial College London Country : Role : Research Scientist
Job Description:
Applications are invited for the post of Research Associate in Outbreak Response analytics and System Design to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London. The post-holder will be part of the National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Modelling Methodology, based in the Department of Infectious Disease Epidemiology, which is host to several world-leading groups in infectious disease epidemiology and has a strong track record of applied collaborative work with national and international agencies in support of policy planning and response operations against emerging infectious disease threats. Epidemic investigation increasingly relies on the analysis of various types of data, such as dates of symptom onset, geographic locations, contact data and pathogen genome sequences. Besides the methodological challenges posed by such analyses, their integration into a coherent, robust data analysis pipeline remains testing, especially in the context of epidemic emergency and low resource settings. To address these challenges, the R Epidemics Consortium (RECON, www.repidemicsconsortium.org) has been formed as an initiative for creating efficient, statistically advanced and robust software tools for outbreak response. The purpose of this post is to build upon these developments and translate them into flexible and robust data analysis pipelines adapted to different contexts, ranging from the integration of evidence synthesis methods for genomic pathogen surveillance, to easily deployable systems for short term incidence forecasting and situation report automation. The postholder will be able to work on a variety of exciting projects, including:
Additional Info:
Location: London Salary: £36,800 to £37,760 per annum Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 5th March 2018 Closes: 4th April 2018 Campus: St Mary’s Campus, Paddington Should you have any queries please contact: Dr Thibaut Jombart t.jombart@imperial.ac.uk Closing date: 4 April 2018 (Midnight BST) Imperial Expectations guide the behaviour of all our staff. Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people. The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/[Click Here to Access the Original Job Post]
Applications are invited for the post of Research Associate in Outbreak Response analytics and System Design to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London. The post-holder will be part of the National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Modelling Methodology, based in the Department of Infectious Disease Epidemiology, which is host to several world-leading groups in infectious disease epidemiology and has a strong track record of applied collaborative work with national and international agencies in support of policy planning and response operations against emerging infectious disease threats. Epidemic investigation increasingly relies on the analysis of various types of data, such as dates of symptom onset, geographic locations, contact data and pathogen genome sequences. Besides the methodological challenges posed by such analyses, their integration into a coherent, robust data analysis pipeline remains testing, especially in the context of epidemic emergency and low resource settings. To address these challenges, the R Epidemics Consortium (RECON, www.repidemicsconsortium.org) has been formed as an initiative for creating efficient, statistically advanced and robust software tools for outbreak response. The purpose of this post is to build upon these developments and translate them into flexible and robust data analysis pipelines adapted to different contexts, ranging from the integration of evidence synthesis methods for genomic pathogen surveillance, to easily deployable systems for short term incidence forecasting and situation report automation. The postholder will be able to work on a variety of exciting projects, including:
- Integrating clustering methods developed in the research team into existing genomics surveillance pipelines at Public Health England (PHE)
- Templated graphical user interfaces for RECON packages
- Reproducible data cleaning/curation
- Automated situation report systems using literate programming
- Deployable analysis systems, using self-contained R environments and container technology
- Interfacing mobile-based data collection with analytics pipelines
- Secured data analysis
- Modern training resources: technical blogs (blogdown), interactive tutorials (learnr), cheatsheets, and podcasts.
Requeriments :
Skills :
Areas :
Additional Info:
Location: London Salary: £36,800 to £37,760 per annum Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 5th March 2018 Closes: 4th April 2018 Campus: St Mary’s Campus, Paddington Should you have any queries please contact: Dr Thibaut Jombart t.jombart@imperial.ac.uk Closing date: 4 April 2018 (Midnight BST) Imperial Expectations guide the behaviour of all our staff. Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people. The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/[Click Here to Access the Original Job Post]