Go back
Imperial College London

Assistant Professor within the School of Public Health (two posts)

The closing date is 09 March 2026

Apply for this job

Job summary

You will play a leading role in the development of research and teaching in health data analytics, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School.

Main duties of the job

Manage research projects Develop contacts with other research organisations, both academic and commercial. Contribute to the delivery and extension of postgraduate education programmed within Imperial College Faculty of Medicine. Undertake the supervision of PhD candidates and other teaching duties as required. Contribute to administrative activities associated with the busy academic and research-active environment of the School. Undertake other duties, as required by the Head of Department and Head of the School.

About us

We are Imperial - a world-leading university for science, technology, engineering, medicine and business (STEMB), where scientific imagination leads to world-changing impact. As a global top ten university in London, we use science to try to understand more of the universe and improve the lives of more people in it. Across our nine campuses and throughout our Imperial Global network, our 22,000 students, 8,000 staff, and partners work together on scientific discovery, innovation and entrepreneurship. Their work navigates some of the world's toughest challenges in global health, climate change, AI, business leadership and more. Founded in 1907, Imperial's future builds on a distinguished past, having pioneered penicillin, holography and fibre optics. Today, Imperial combines exceptional teaching, world-class facilities and a habit of interdisciplinary practice to unlock scientific imagination.

Details

Date posted

05 February 2026

Pay scheme

Other

Salary

£70,718 to £80,148 a year

Contract

Permanent

Working pattern

Full-time

Reference number

MED05607

Job locations

80-92 Wood Lane

London

W12 0BZ


Job description

Job responsibilities

About the role Imperial College London invites applications for the following two positions:

  • Assistant Professor in Health Data Analytics
  • Assistant Professor in Environmental Epidemiology and Data Science

    • This is an exciting opportunity to join the School of Public Health (SPH) on Imperial's new White City campus.

    You will play a leading role in the development of research and teaching in health data analytics, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in the development of world-leading research programmes in your area of expertise. You will also be expected to contribute to the School and Faculty's successful and expanding wider undergraduate and postgraduate teaching programmes including the development of a proposed new undergraduate programme in Data Science for Health. You will carry out research and teaching activities and raise research funding at a level commensurate with the appointment. You will also undertake the usual administrative duties associated with a busy academic and research-active environment. You may also be required to undertake other duties, as required by the Head of Department and Head of School. We actively encourage applications from candidates of all backgrounds.

    We particularly welcome applications from women, Black researchers, and other ethnic minority groups who are underrepresented in academia and in the field of health data analytics. We are committed to building an inclusive research community that reflects the diversity of the populations we serve. Imperial is committed to anti-racism, addressing structural inequalities, and supporting diverse talent.

    What you would be doing You will:

  • Manage research projects
  • Develop contacts with other research organisations, both academic and commercial.
  • Contribute to the delivery and extension of postgraduate education programmed within Imperial College Faculty of Medicine.
  • Undertake the supervision of PhD candidates and other teaching duties as required.
  • Contribute to administrative activities associated with the busy academic and research-active environment of the School.
  • Undertake other duties, as required by the Head of Department and Head of the School.

    • What we are looking for
  • A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent
  • To teach and examine courses at all levels - undergraduate, masters and higher research degrees - through lectures, seminars, tutorials, course work and personal supervision
  • To contribute to the development of a new undergraduate programme in Data Science for Health across the School of Public Health
  • Ability to work confidently with R and STATA/ Python
  • To develop a broad range of research within the department, including methodological research in Environmental Epidemiology
  • To act as a coach and role model through excellent practice and mentoring of colleagues.
  • To be able to translate research evidence into policy; e.g. through structured input to policy makers using relevant methodologies such as health impact assessment.
  • A good publication record /the ability to publish high quality research in peer reviewed journals.
  • Experience of preparing grant applications for submission
  • Evidence of teaching applied statistics and/or related quantitative discipline

    • A commitment to high-quality, inclusive teaching and supporting student learning We welcome applications from those whose careers have included varied pathways or career breaks. Full information on duties, responsibilities and criteria for both posts can be found in their attached Job Descriptions

    What we can offer you

  • The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
  • Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process.
  • Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
  • We support flexible working arrangements, family-friendly policies, and a healthy work-life balance.
  • Staff can join networks such as Imperial As One (our race equality network), Able@Imperial (staff disability network), Imperial 600 (LGBTQ+ staff), and others.
  • Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.

    • Please see our Further Particulars for more information about the College and the benefits available to staff.

    Further information

    Closing date: 9 March 2026, 23:59 hours, Midnight GMT. Both these positions are based at White City campus and are on a full-time, open-ended basis. For queries relating to Health Data Analytics post, please contact Professor Marc Chadeau-Hyam, email: m.chadeau@imperial.ac.uk For queries, relating to Environmental Epidemiology and Data Science, please contact Professor Benjamin Barratt, email: b.barratt@imperial.ac.uk. If you experience any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

    Our goal is to recruit outstanding and diverse candidates from UK and international researchers. We encourage applications from candidates who identify in minority ethnic groups, from ethnically diverse backgrounds, and/or those who are of mixed heritage who are currently underrepresented within the School of Public Health. Imperial is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

    About Imperial research | Research | Imperial College London Imperial believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in our care are treated with full respect, and that all staff involved with this work show due consideration at every level: Find out more about animal research at Imperial

    Job description

    Job responsibilities

    About the role Imperial College London invites applications for the following two positions:

  • Assistant Professor in Health Data Analytics
  • Assistant Professor in Environmental Epidemiology and Data Science

    • This is an exciting opportunity to join the School of Public Health (SPH) on Imperial's new White City campus.

    You will play a leading role in the development of research and teaching in health data analytics, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in the development of world-leading research programmes in your area of expertise. You will also be expected to contribute to the School and Faculty's successful and expanding wider undergraduate and postgraduate teaching programmes including the development of a proposed new undergraduate programme in Data Science for Health. You will carry out research and teaching activities and raise research funding at a level commensurate with the appointment. You will also undertake the usual administrative duties associated with a busy academic and research-active environment. You may also be required to undertake other duties, as required by the Head of Department and Head of School. We actively encourage applications from candidates of all backgrounds.

    We particularly welcome applications from women, Black researchers, and other ethnic minority groups who are underrepresented in academia and in the field of health data analytics. We are committed to building an inclusive research community that reflects the diversity of the populations we serve. Imperial is committed to anti-racism, addressing structural inequalities, and supporting diverse talent.

    What you would be doing You will:

  • Manage research projects
  • Develop contacts with other research organisations, both academic and commercial.
  • Contribute to the delivery and extension of postgraduate education programmed within Imperial College Faculty of Medicine.
  • Undertake the supervision of PhD candidates and other teaching duties as required.
  • Contribute to administrative activities associated with the busy academic and research-active environment of the School.
  • Undertake other duties, as required by the Head of Department and Head of the School.

    • What we are looking for
  • A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent
  • To teach and examine courses at all levels - undergraduate, masters and higher research degrees - through lectures, seminars, tutorials, course work and personal supervision
  • To contribute to the development of a new undergraduate programme in Data Science for Health across the School of Public Health
  • Ability to work confidently with R and STATA/ Python
  • To develop a broad range of research within the department, including methodological research in Environmental Epidemiology
  • To act as a coach and role model through excellent practice and mentoring of colleagues.
  • To be able to translate research evidence into policy; e.g. through structured input to policy makers using relevant methodologies such as health impact assessment.
  • A good publication record /the ability to publish high quality research in peer reviewed journals.
  • Experience of preparing grant applications for submission
  • Evidence of teaching applied statistics and/or related quantitative discipline

    • A commitment to high-quality, inclusive teaching and supporting student learning We welcome applications from those whose careers have included varied pathways or career breaks. Full information on duties, responsibilities and criteria for both posts can be found in their attached Job Descriptions

    What we can offer you

  • The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
  • Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process.
  • Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
  • We support flexible working arrangements, family-friendly policies, and a healthy work-life balance.
  • Staff can join networks such as Imperial As One (our race equality network), Able@Imperial (staff disability network), Imperial 600 (LGBTQ+ staff), and others.
  • Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.

    • Please see our Further Particulars for more information about the College and the benefits available to staff.

    Further information

    Closing date: 9 March 2026, 23:59 hours, Midnight GMT. Both these positions are based at White City campus and are on a full-time, open-ended basis. For queries relating to Health Data Analytics post, please contact Professor Marc Chadeau-Hyam, email: m.chadeau@imperial.ac.uk For queries, relating to Environmental Epidemiology and Data Science, please contact Professor Benjamin Barratt, email: b.barratt@imperial.ac.uk. If you experience any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

    Our goal is to recruit outstanding and diverse candidates from UK and international researchers. We encourage applications from candidates who identify in minority ethnic groups, from ethnically diverse backgrounds, and/or those who are of mixed heritage who are currently underrepresented within the School of Public Health. Imperial is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

    About Imperial research | Research | Imperial College London Imperial believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in our care are treated with full respect, and that all staff involved with this work show due consideration at every level: Find out more about animal research at Imperial

    Person Specification

    Qualifications

    Essential

    • A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent
    • To teach and examine courses at all levels - undergraduate, masters and higher research degrees - through lectures, seminars, tutorials, course work and personal supervision
    • To contribute to the development of a new undergraduate programme in Data Science for Health across the School of Public Health
    • Ability to work confidently with R and STATA/ Python
    • To develop a broad range of research within the department, including methodological research in Environmental Epidemiology
    • To act as a coach and role model through excellent practice and mentoring of colleagues.
    • To be able to translate research evidence into policy; e.g. through structured input to policy makers using relevant methodologies such as health impact assessment.
    • A good publication record /the ability to publish high quality research in peer reviewed journals.
    • Experience of preparing grant applications for submission
    • Evidence of teaching applied statistics and/or related quantitative discipline
    • A commitment to high-quality, inclusive teaching and supporting student learning
    • We welcome applications from those whose careers have included varied pathways or career breaks.
    • Full information on duties, responsibilities and criteria for both posts can be found in their attached Job Descriptions

    Experience

    Essential

    • Knowledge and Experience
    • A developing national reputation and expertise in the field of Health Data
    • Analytics
    • Proven ability to research and apply advanced statistical methods,
    • machine learning and/or AI
    • Proven expertise in the analysis and integration of multi omics data
    • Proven expertise in Graphical/Network models
    • Extensive experience of environmental and chronic disease
    • epidemiological modelling
    • Excellent knowledge of R and Python
    • Extensive experience analysing time-resolved data/time series
    • A good publication record /the ability to publish high quality research in
    • peer reviewed journals.
    • Evidence of contribution to the development and performance of
    • colleagues through coaching and mentoring
    • Experience of preparing grant applications for submission
    • Evidence of teaching applied statistics and/or related quantitative
    • discipline
    • Experience of training Undergraduate and Postgraduate students
    • Experience of supervision of higher degrees (PhD)
    Person Specification

    Qualifications

    Essential

    • A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent
    • To teach and examine courses at all levels - undergraduate, masters and higher research degrees - through lectures, seminars, tutorials, course work and personal supervision
    • To contribute to the development of a new undergraduate programme in Data Science for Health across the School of Public Health
    • Ability to work confidently with R and STATA/ Python
    • To develop a broad range of research within the department, including methodological research in Environmental Epidemiology
    • To act as a coach and role model through excellent practice and mentoring of colleagues.
    • To be able to translate research evidence into policy; e.g. through structured input to policy makers using relevant methodologies such as health impact assessment.
    • A good publication record /the ability to publish high quality research in peer reviewed journals.
    • Experience of preparing grant applications for submission
    • Evidence of teaching applied statistics and/or related quantitative discipline
    • A commitment to high-quality, inclusive teaching and supporting student learning
    • We welcome applications from those whose careers have included varied pathways or career breaks.
    • Full information on duties, responsibilities and criteria for both posts can be found in their attached Job Descriptions

    Experience

    Essential

    • Knowledge and Experience
    • A developing national reputation and expertise in the field of Health Data
    • Analytics
    • Proven ability to research and apply advanced statistical methods,
    • machine learning and/or AI
    • Proven expertise in the analysis and integration of multi omics data
    • Proven expertise in Graphical/Network models
    • Extensive experience of environmental and chronic disease
    • epidemiological modelling
    • Excellent knowledge of R and Python
    • Extensive experience analysing time-resolved data/time series
    • A good publication record /the ability to publish high quality research in
    • peer reviewed journals.
    • Evidence of contribution to the development and performance of
    • colleagues through coaching and mentoring
    • Experience of preparing grant applications for submission
    • Evidence of teaching applied statistics and/or related quantitative
    • discipline
    • Experience of training Undergraduate and Postgraduate students
    • Experience of supervision of higher degrees (PhD)

    Disclosure and Barring Service Check

    This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

    Employer details

    Employer name

    Imperial College London

    Address

    80-92 Wood Lane

    London

    W12 0BZ


    Employer's website

    https://www.imperial.ac.uk/ (Opens in a new tab)

    Employer details

    Employer name

    Imperial College London

    Address

    80-92 Wood Lane

    London

    W12 0BZ


    Employer's website

    https://www.imperial.ac.uk/ (Opens in a new tab)

    Employer contact details

    For questions about the job, contact:

    Recruitment Advisor

    Recruitment Hub

    recruitmenthub@imperial.ac.uk

    Details

    Date posted

    05 February 2026

    Pay scheme

    Other

    Salary

    £70,718 to £80,148 a year

    Contract

    Permanent

    Working pattern

    Full-time

    Reference number

    MED05607

    Job locations

    80-92 Wood Lane

    London

    W12 0BZ


    Privacy notice

    Imperial College London's privacy notice (opens in a new tab)