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

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:

• 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 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:

• 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

Qualifications:

• 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

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
• 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 disciplines
• 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.