Senior Research Associate / Research Associate in Medical Statistics and Health Data Science

This role is within the University of Bristol’s Electronic Health Records analysis team, led by Professor Jonathan Sterne , Dr Rachel Denholm and  Dr Venexia Walker . This is an exciting opportunity for an enthusiastic and talented researcher with expertise in health data, data science, medical statistics, and/or machine learning to join one of the largest groups in the country with expertise in the use of Electronic Health Records for applied research.

The postholder will conduct and disseminate high quality, high priority, applied research in collaboration with team members in Bristol and across the UK. Much of their work will be based within OpenSAFELY , which was recently endorsed by NHS England and enables analyses based on the full primary care record of nearly all people in England. The post-holder will mainly work on projects exploring the impact and inequalities of winter pressures on health. They will also conduct analyses related to long-term effects of COVID-19.

The post-holder will be based within the University of Bristol’s Department of Population Health Sciences, which is a leading UK centre for data science research. Interested applicants are strongly encouraged to make informal enquiries to Dr Rachel Denholm ([email protected] ) or Venexia Walker ([email protected] ).

You will work on projects across three major work programmes:

• Impact and inequalities of winter pressures in primary care: providing the evidence base for mitigation strategies, funded by NIHR Health and Social Care Delivery Research (HSDR), in collaboration with the London School of Hygiene and Tropical Medicine and University of Oxford
• CONVALESCENCE long COVID Study
• NIHR Bristol Biomedical Research Centre Translational Data Science theme

You will work closely with leading  researchers in data science and health informatics, implementing state-of-the-art methods to estimate comparative effects of medicines and other health interventions, and predict the risk of future disease. You will liaise with collaborators, manage and analyse data, and write papers reporting results of these analyses. There will be opportunities to contribute to methodological developments relevant to this work.

You have relevant experience, expertise, and ambition to conduct high quality, high impact research based on very large datasets containing linked routinely collected health care data, within a UK-leading team.

Contract type: Open-ended with funding until 01/03/2027

Work pattern: Full Time/ 1 FTE

Grade: Grade I/J (Pathway 2)

Salary: £41,732 - £46,974 (Grade J) or £37,099 - £41,732 (Grade I) per annum

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week

This advert will close at 23:59 GMT on 15/01/2024

For informal queries please contact: Dr Rachel Denholm ([email protected] ) or Dr Venexia Walker ([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.

This role is within the University of Bristol’s Electronic Health Records analysis team, led by Professor Jonathan Sterne , Dr Rachel Denholm and  Dr Venexia Walker . This is an exciting opportunity for an enthusiastic and talented researcher with expertise in health data, data science, medical statistics, and/or machine learning to join one of the largest groups in the country with expertise in the use of Electronic Health Records for applied research.

The postholder will conduct and disseminate high quality, high priority, applied research in collaboration with team members in Bristol and across the UK. Much of their work will be based within OpenSAFELY , which was recently endorsed by NHS England and enables analyses based on the full primary care record of nearly all people in England. The post-holder will mainly work on projects exploring the impact and inequalities of winter pressures on health. They will also conduct analyses related to long-term effects of COVID-19.

The post-holder will be based within the University of Bristol’s Department of Population Health Sciences, which is a leading UK centre for data science research. Interested applicants are strongly encouraged to make informal enquiries to Dr Rachel Denholm ([email protected] ) or Venexia Walker ([email protected] ).

You will work on projects across three major work programmes:

• Impact and inequalities of winter pressures in primary care: providing the evidence base for mitigation strategies, funded by NIHR Health and Social Care Delivery Research (HSDR), in collaboration with the London School of Hygiene and Tropical Medicine and University of Oxford
• CONVALESCENCE long COVID Study
• NIHR Bristol Biomedical Research Centre Translational Data Science theme

You will work closely with leading  researchers in data science and health informatics, implementing state-of-the-art methods to estimate comparative effects of medicines and other health interventions, and predict the risk of future disease. You will liaise with collaborators, manage and analyse data, and write papers reporting results of these analyses. There will be opportunities to contribute to methodological developments relevant to this work.

You have relevant experience, expertise, and ambition to conduct high quality, high impact research based on very large datasets containing linked routinely collected health care data, within a UK-leading team.

Contract type: Open-ended with funding until 01/03/2027

Work pattern: Full Time/ 1 FTE

Grade: Grade I/J (Pathway 2)

Salary: £41,732 - £46,974 (Grade J) or £37,099 - £41,732 (Grade I) per annum

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week

This advert will close at 23:59 GMT on 15/01/2024

For informal queries please contact: Dr Rachel Denholm ([email protected] ) or Dr Venexia Walker ([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.