Research Fellow in Health Data Science / Epidemiology

We are looking for an experienced postdoctoral researcher. You will be linked to Professor Deborah Lawlor’s British Heart Foundation (BHF) Chair and her and Dr Carolina Borges’ MRC Integrative Epidemiology Unit programme. You will be responsible for conducting and disseminating high quality translational research to improving maternal cardiovascular/cardiometabolic health related to pregnancy and reproductive health. We are looking for someone who has experience of working with large-scale electronic health records (EHR) data. You will be able to complete different analytical methods using EHR, such as within sibship, negative control, trial emulation, and instrumental variable analyses. You will triangulate evidence from these different methods and different datasets to identify risk factors and treatments for adverse health outcomes. You will be supported, to develop your own cardiovascular/cardiometabolic research.

• Conducting research using large-scale EHR data from national and international populations to improve cardiovascular/metabolic health around reproduction (e.g. infertility) and pregnancy
• Contributing to analytical methods development and triangulation of evidence from different methods, such as negative control, within sibling and trial emulation analyses and instrumental variable analyses
• Developing own research ideas, and a research team through supporting PhD students and early career researchers, and contributing to obtaining grants
• Critically interpreting findings and disseminating these through high quality academic publications, conferences and other forms of dissemination that lead to appropriate translation or impact
• Presenting research findings at local, national, and international meetings and conferences
• Contributing to building the University’s research capacity in analyses of record linkage data and cardiovascular research

You have experience of analysing large scale linked EHR data using conventional and more advanced statistical methods.

A quantitative PhD (e.g. data science, epidemiology, statistics) is required and significant postdoctoral quantitative research experience.

You should have enthusiasm for, and confidence in, learning new analytical methods and an ability to assess concepts/theories and develop original solutions.

You should have experience of supervising students and other researchers, and interest in developing your own research ideas.

Good understanding of epidemiology / medical statistics and experience of presenting research results to diverse audiences are essential.

Contract type: Open ended with funding for 40 months

Work pattern: 100% time / 1 FTE

Grade: K/2 (c)

Salary: £47,047 – £49,841 per annum depending on skills and experience

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week 

This advert will close at 23:59 GMT on 21/05/2023

For informal queries please contact: Deborah A 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.

Available documents

We are looking for an experienced postdoctoral researcher. You will be linked to Professor Deborah Lawlor’s British Heart Foundation (BHF) Chair and her and Dr Carolina Borges’ MRC Integrative Epidemiology Unit programme. You will be responsible for conducting and disseminating high quality translational research to improving maternal cardiovascular/cardiometabolic health related to pregnancy and reproductive health. We are looking for someone who has experience of working with large-scale electronic health records (EHR) data. You will be able to complete different analytical methods using EHR, such as within sibship, negative control, trial emulation, and instrumental variable analyses. You will triangulate evidence from these different methods and different datasets to identify risk factors and treatments for adverse health outcomes. You will be supported, to develop your own cardiovascular/cardiometabolic research.

• Conducting research using large-scale EHR data from national and international populations to improve cardiovascular/metabolic health around reproduction (e.g. infertility) and pregnancy
• Contributing to analytical methods development and triangulation of evidence from different methods, such as negative control, within sibling and trial emulation analyses and instrumental variable analyses
• Developing own research ideas, and a research team through supporting PhD students and early career researchers, and contributing to obtaining grants
• Critically interpreting findings and disseminating these through high quality academic publications, conferences and other forms of dissemination that lead to appropriate translation or impact
• Presenting research findings at local, national, and international meetings and conferences
• Contributing to building the University’s research capacity in analyses of record linkage data and cardiovascular research

You have experience of analysing large scale linked EHR data using conventional and more advanced statistical methods.

A quantitative PhD (e.g. data science, epidemiology, statistics) is required and significant postdoctoral quantitative research experience.

You should have enthusiasm for, and confidence in, learning new analytical methods and an ability to assess concepts/theories and develop original solutions.

You should have experience of supervising students and other researchers, and interest in developing your own research ideas.

Good understanding of epidemiology / medical statistics and experience of presenting research results to diverse audiences are essential.

Contract type: Open ended with funding for 40 months

Work pattern: 100% time / 1 FTE

Grade: K/2 (c)

Salary: £47,047 – £49,841 per annum depending on skills and experience

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week 

This advert will close at 23:59 GMT on 21/05/2023

For informal queries please contact: Deborah A 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.

Available documents