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

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 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.

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.

• 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; . 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

• 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.
• Be part of a diverse, inclusive and collaborative work culture with various and resources designed to support your personal and professional .