Research Associate / Senior Research Associate in Medical Statistics

We are seeking two talented postdoctoral researchers with experience in Epidemiology and/or medical statistics and who are interested in understanding the causes of multimorbidity. The posts are funded by a joint UKRI NIHR multi-morbidity grant (Multimorbidity Mechanism and Therapeutics Research Collaboration). The collaboration is led by University College London and includes researchers from the University of Bristol, as well as Queen Mary University London, University of Birmingham, University of Cambridge University, and University of Liverpool. The aim of this collaboration is to uncover common mechanisms underlying diverse diseases with the aim of optimising the management of patients with multimorbidity. The two appointed candidates will work together and be responsible for (i) conducting primary applied research to identify causes of multimorbidity and (ii) integrating evidence from published research, primary research as part of this role and research completed by other collaborators. This integration will aim to improve causal understanding by triangulating evidence from different data sources and analytical methods that have different key sources of bias (e.g. Mendelian randomization, within family matched analyses, negative control analyses and conventional multivariable regression). The post is ideally suited to someone in their first postdoctoral year and keen to gain new skills related to causal mechanisms and triangulation of evidence.

The successful applicant ideally will able to start on or before 31/03/2024.

Research Responsibilities

• Undertake primary analyses of a potential cause of multimorbidity using appropriate methods, including contributing to to decisions about the specific cause to be explored (e.g. adiposity, inflammation, alcohol, other exposures hypothesise to influenced multiple diseases), the population of study (e.g. pregnant women, general population) and the methods and data to use.
• Appropriately compare results from your primary analyses, from other members of the collaboration and from published literature to improve causal understanding.
• Generate ideas, develop and execute analysis plans.
• Write scientific papers for peer reviewed journals.
• Present research findings at local, national, and international meetings and conferences.

Administration Responsibilities

• Thorough documentation and version control of all analysis code.
• Preparation, annotation and documentation of datasets, as appropriate.
• Engagement and collaboration with researchers within the multi morbidity collaboration, the IEU and wider Bristol Medical School.

Experience in Epidemiology, using standard statistical methods (e.g. regression models),  efficiently using R or an equivalent statistical package,  keeping documentation and version control of all analysis code, presenting research findings, verbally or in writing, to academic colleagues. You should have a PhD (or have submitted your PhD) in epidemiology, medical statistics, data science or related quantitative discipline

Contract type: Open ended with funding until 31/03/2025 

Work pattern: Full time/ 1 FTE

Grade: Grade I/ J (Pathway 2)

Salary: I: £37,099 -41,732/ J: £41,732 - £42,978 per annum depending on previous experience

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week

This advert will close at 23:59 GMT on 14/02/2024

For informal queries please contact: Prof Deborah Lawlor ([email protected]) 

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

We are seeking two talented postdoctoral researchers with experience in Epidemiology and/or medical statistics and who are interested in understanding the causes of multimorbidity. The posts are funded by a joint UKRI NIHR multi-morbidity grant (Multimorbidity Mechanism and Therapeutics Research Collaboration). The collaboration is led by University College London and includes researchers from the University of Bristol, as well as Queen Mary University London, University of Birmingham, University of Cambridge University, and University of Liverpool. The aim of this collaboration is to uncover common mechanisms underlying diverse diseases with the aim of optimising the management of patients with multimorbidity. The two appointed candidates will work together and be responsible for (i) conducting primary applied research to identify causes of multimorbidity and (ii) integrating evidence from published research, primary research as part of this role and research completed by other collaborators. This integration will aim to improve causal understanding by triangulating evidence from different data sources and analytical methods that have different key sources of bias (e.g. Mendelian randomization, within family matched analyses, negative control analyses and conventional multivariable regression). The post is ideally suited to someone in their first postdoctoral year and keen to gain new skills related to causal mechanisms and triangulation of evidence.

The successful applicant ideally will able to start on or before 31/03/2024.

Research Responsibilities

• Undertake primary analyses of a potential cause of multimorbidity using appropriate methods, including contributing to to decisions about the specific cause to be explored (e.g. adiposity, inflammation, alcohol, other exposures hypothesise to influenced multiple diseases), the population of study (e.g. pregnant women, general population) and the methods and data to use.
• Appropriately compare results from your primary analyses, from other members of the collaboration and from published literature to improve causal understanding.
• Generate ideas, develop and execute analysis plans.
• Write scientific papers for peer reviewed journals.
• Present research findings at local, national, and international meetings and conferences.

Administration Responsibilities

• Thorough documentation and version control of all analysis code.
• Preparation, annotation and documentation of datasets, as appropriate.
• Engagement and collaboration with researchers within the multi morbidity collaboration, the IEU and wider Bristol Medical School.

Experience in Epidemiology, using standard statistical methods (e.g. regression models),  efficiently using R or an equivalent statistical package,  keeping documentation and version control of all analysis code, presenting research findings, verbally or in writing, to academic colleagues. You should have a PhD (or have submitted your PhD) in epidemiology, medical statistics, data science or related quantitative discipline

Contract type: Open ended with funding until 31/03/2025 

Work pattern: Full time/ 1 FTE

Grade: Grade I/ J (Pathway 2)

Salary: I: £37,099 -41,732/ J: £41,732 - £42,978 per annum depending on previous experience

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week

This advert will close at 23:59 GMT on 14/02/2024

For informal queries please contact: Prof Deborah Lawlor ([email protected]) 

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.