Research Assistant in Public Health (Imperial College London)

Job summary We are seeking a mathematical modeller of infectious disease to work on an exciting and collaborative new project funded by the Wellcome Trust to inform the HIV response globally. The position will require the candidate to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who... Job listing information Reference MED04067 Date posted 20 August 2023 Closing date 18 September 2023 Key information about the role Location St Mary's Campus - Hybrid Position type Full time, fixed term Salary £40,694 – £53,630 plus benefits Department School of Public Health Category Researcher / Non Clinical Researcher Job description Job summary We are seeking a mathematical modeller of infectious disease to work on an exciting and collaborative new project funded by the Wellcome Trust to inform the HIV response globally. The position will require the candidate to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who have sex with men, female sex workers), conduct cost-effectiveness analysis and/or to coordinate projects and help team member with administrative tasks. The project will require to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who have sex with men, female sex workers), conduct cost-effectiveness analysis and/or to coordinate projects and help team member with administrative tasks. You will work collaboratively with Prof Marie-Claude Boily at Imperial College, Prof P Vickerman and Dr M Maheu-Giroux at McGill University as well as our other UK and international collaborators and partners. You will join the HIV Prevention Trials Network (HPTN) Modelling Centre (https://hptnmodelling.org/) and the MRC Centre for Global Infectious Disease Analysis (https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis), and will benefit from the extensive infectious disease modelling expertise of their members. The Centre has built upon a world-leading research group in the Department of Infectious Disease Epidemiology at Imperial College London to undertake applied collaborative work with national and international agencies in support of policy planning and response across a wide range of emerging infectious disease threats and global health challenges. Duties and responsibilities Develop modelling analysis plan, in collaboration with other project investigators. Develop, code, debug, and calibrate dynamic mathematical models Conduct scoping and systematic reviews of the literature as required Design and conduct secondary data analysis to inform model development and calibration Conduct mathematical modelling analysis and summarise and visualise modelling results Disseminate research findings through peer-reviewed journal publications and presentations at international meetings and conferences Collaborate and present findings to international research partners Provide advice to other staff and students in the group Essential requirements You should hold a PhD (for appointment to Research Associate) or a first/masters degree (for appointment to Research Assistant) in epidemiological modelling, infectious disease epidemiology, ecology, population biology, mathematics, biostatistics, computer science or an alternative highly quantitative discipline directly relevant to epidemiology and public health. Further information This role is offered on a full time, fixed term basis in the first instance and you will be based at St. Mary’s Campus. Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £40,694 - £43,888 per annum. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements. Should you have any queries please contact: Professor Marie-Claude Boily (mc.boily@imperial.ac.uk). Documents JD Research Assistant or Associate MC.pdf If you apply for this position please say you saw it on Medicinoxy

Job summary

We are seeking a mathematical modeller of infectious disease to work on an exciting and collaborative new project funded by the Wellcome Trust to inform the HIV response globally. The position will require the candidate to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who...

Job listing information

Reference MED04067
Date posted 20 August 2023
Closing date 18 September 2023

Key information about the role

Location St Mary's Campus - Hybrid

Position type Full time, fixed term
Salary £40,694 – £53,630 plus benefits

Department School of Public Health
Category Researcher / Non Clinical Researcher

Job description

Job summary

The project will require to perform statistical analysis, systematic reviews, develop innovative mathematical models to assess the population level impact of structural barriers and structural factors on HIV among vulnerable populations (e.g. men who have sex with men, female sex workers), conduct cost-effectiveness analysis and/or to coordinate projects and help team member with administrative tasks.

You will work collaboratively with Prof Marie-Claude Boily at Imperial College, Prof P Vickerman and Dr M Maheu-Giroux at McGill University as well as our other UK and international collaborators and partners.

You will join the HIV Prevention Trials Network (HPTN) Modelling Centre (https://hptnmodelling.org/) and the MRC Centre for Global Infectious Disease Analysis (https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis), and will benefit from the extensive infectious disease modelling expertise of their members. The Centre has built upon a world-leading research group in the Department of Infectious Disease Epidemiology at Imperial College London to undertake applied collaborative work with national and international agencies in support of policy planning and response across a wide range of emerging infectious disease threats and global health challenges.

Duties and responsibilities

Develop modelling analysis plan, in collaboration with other project investigators.

Develop, code, debug, and calibrate dynamic mathematical models

Conduct scoping and systematic reviews of the literature as required

Design and conduct secondary data analysis to inform model development and calibration

Conduct mathematical modelling analysis and summarise and visualise modelling results

Disseminate research findings through peer-reviewed journal publications and presentations at international meetings and conferences

Collaborate and present findings to international research partners

Provide advice to other staff and students in the group

Essential requirements

You should hold a PhD (for appointment to Research Associate) or a first/masters degree (for appointment to Research Assistant) in epidemiological modelling, infectious disease epidemiology, ecology, population biology, mathematics, biostatistics, computer science or an alternative highly quantitative discipline directly relevant to epidemiology and public health.

Further information

This role is offered on a full time, fixed term basis in the first instance and you will be based at St. Mary’s Campus.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £40,694 - £43,888 per annum.

Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

Should you have any queries please contact: Professor Marie-Claude Boily (mc.boily@imperial.ac.uk).