Job ID: 644226458
Job date: 2018-03-31
End Date:
Company : University of Bristol Country : Role : Research Scientist
Job date: 2018-03-31
End Date:
Company : University of Bristol Country : Role : Research Scientist
Job Description:
We are seeking a talented senior research associate / research fellow with extensive experience in biomedical data integration and analysis, web application development, data mining and causal inference. The successful candidate will join a vibrant interdisciplinary research environment in the MRC Integrative Epidemiology Unit, working within a programme on data mining of epidemiological relationships (bris.ac.uk/ieu/research/bioinformatics/). The successful candidate will be appointed at either Senior Research Associate (grade J) or Research Fellow (grade K) depending on experience. The postholder will have the opportunity to develop their own research portfolio within the programme, contribute to teaching and postgraduate training and will be supported in their career progression Who we are looking for: You will have a strong computational background, with experience in Python, R and other programming languages and experience working with a range of bioinformatic data sources. Ideally you will be familiar with graph databases (eg Neo4J). You will also have experience of applied statistical analysis and/or machine learning and will have a good understanding of causal inference using graphical causal models.
Additional Info:
The successful applicant will be based within the MRC Integrative Epidemiology Unit (IEU) within the Bristol Medical School, at the University of Bristol. Informal enquiries are welcome, and may be made to Dr Tom Gaunt (tom.gaunt@bristol.ac.uk) The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities. The University is globally renowned for the high quality of its teaching and for its leading edge research. Places at Bristol are among the most sought after in the UK. The University is characterised as: * operating at the leading edge of research to address key global issues * educating many of tomorrow's leaders * a member of the Worldwide Universities Network and of the Russell Group of universities. [Click Here to Access the Original Job Post]
We are seeking a talented senior research associate / research fellow with extensive experience in biomedical data integration and analysis, web application development, data mining and causal inference. The successful candidate will join a vibrant interdisciplinary research environment in the MRC Integrative Epidemiology Unit, working within a programme on data mining of epidemiological relationships (bris.ac.uk/ieu/research/bioinformatics/). The successful candidate will be appointed at either Senior Research Associate (grade J) or Research Fellow (grade K) depending on experience. The postholder will have the opportunity to develop their own research portfolio within the programme, contribute to teaching and postgraduate training and will be supported in their career progression Who we are looking for: You will have a strong computational background, with experience in Python, R and other programming languages and experience working with a range of bioinformatic data sources. Ideally you will be familiar with graph databases (eg Neo4J). You will also have experience of applied statistical analysis and/or machine learning and will have a good understanding of causal inference using graphical causal models.
Skills :
Areas :
Additional Info:
The successful applicant will be based within the MRC Integrative Epidemiology Unit (IEU) within the Bristol Medical School, at the University of Bristol. Informal enquiries are welcome, and may be made to Dr Tom Gaunt (tom.gaunt@bristol.ac.uk) The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities. The University is globally renowned for the high quality of its teaching and for its leading edge research. Places at Bristol are among the most sought after in the UK. The University is characterised as: * operating at the leading edge of research to address key global issues * educating many of tomorrow's leaders * a member of the Worldwide Universities Network and of the Russell Group of universities. [Click Here to Access the Original Job Post]