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- Tasks: Lead research and teaching in health data analytics and environmental epidemiology.
- Company: Join the prestigious Imperial College London on the innovative White City campus.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Why this job: Make a real impact in public health and shape future leaders in data science.
- Qualifications: PhD in relevant field and experience in teaching and research.
- Other info: We welcome diverse applicants and support career development.
The predicted salary is between 36000 - 60000 £ per year.
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
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)
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.
Assistant Professor within the School of Public Health (two posts) employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Professor within the School of Public Health (two posts)
✨Tip Number 1
Network like a pro! Reach out to current faculty members or alumni from the School of Public Health. A friendly chat can give you insights into the role and might even lead to a recommendation.
✨Tip Number 2
Showcase your passion for research! Prepare a short presentation about your past projects and how they align with the school's focus areas. This will help you stand out during interviews.
✨Tip Number 3
Be ready to discuss your teaching philosophy! Think about how you can contribute to the development of the new undergraduate programme in Data Science for Health. Share your ideas on engaging students effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the latest updates and resources to help you prepare.
We think you need these skills to ace Assistant Professor within the School of Public Health (two posts)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the specific role you're applying for. Highlight your experience in health data analytics, environmental epidemiology, or any relevant fields that align with the job description.
Showcase Your Research: Don’t forget to include details about your research projects and publications. We want to see how your work contributes to the field and how it aligns with our goals at the School of Public Health.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. This helps us quickly understand your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application through our official website. It’s the best way to ensure your application is received and considered by the right people at Imperial College London.
How to prepare for a job interview at Imperial College London
✨Know Your Stuff
Make sure you brush up on the latest trends and methodologies in health data analytics, environmental epidemiology, and biostatistics. Familiarise yourself with R and Python, as well as any recent publications in your field. This will not only help you answer technical questions but also show your passion for the subject.
✨Showcase Your Teaching Skills
Prepare to discuss your teaching philosophy and experiences. Think about how you can contribute to the development of the new undergraduate programme in Data Science for Health. Be ready to share examples of how you've engaged students in the past and how you plan to support diverse learning needs.
✨Connect and Collaborate
Highlight your experience in managing research projects and developing contacts with other organisations. Be prepared to discuss how you would foster collaborations within the School and beyond. This shows that you're not just a lone wolf but someone who values teamwork and community.
✨Be Ready for Administrative Questions
Since the role involves administrative duties, think about your organisational skills and how you manage multiple responsibilities. Prepare examples of how you've successfully balanced research, teaching, and administrative tasks in the past. This will demonstrate your ability to thrive in a busy academic environment.
