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- Tasks: Lead the development of a database for disease surveillance and contribute to innovative health research.
- Company: Join King's College London, a leader in health equity and GeoAI research.
- Benefits: Competitive salary, professional development days, and access to top-tier training resources.
- Why this job: Make a real impact on public health and equity through cutting-edge research.
- Qualifications: PhD in relevant fields and strong programming skills in R or Python.
- Other info: Collaborate with international partners and enjoy excellent career growth opportunities.
The predicted salary is between 34700 - 43200 £ per year.
King's College London invites applications for a Research Assistant (RA) in GeoAI, Infectious Diseases, & Health Equity to join the GeoAI for Health Equity Lab (GAHEL, pronounced "gail") led by Dr. Sabrina Li. The RA will contribute to Dr. Li's UKRI-funded Future Leaders Fellowship project which focuses on integrating equity considerations into infectious disease mapping and surveillance, starting with the UK. The RA will be based in the Department of Geography, but will have access to training and support from King's Health Partners Digital Health Hub, King's Institute for Artificial Intelligence, and the Digital Futures Institute. The RA will also have access to research and career development from King's Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John Hopkins University (USA).
The RA will lead the development of a database of high-resolution equity indicators for disease surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including differential privacy & other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals & population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance & pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.
This is a full-time post (35 hours per week), and you will be offered a 2-year fixed-term contract. Research staff at King's are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research & Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
To be successful in this role, we are looking for candidates to have the following skills & experience:
- Essential criteria
- PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline.
- Experience in developing models & mapping with real world data, with strong programming proficiency in R or Python & version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas).
- Proven ability to work independently.
- Track record in publishing peer-reviewed papers.
- Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair & inclusive work environment.
- Excellent written & oral communication skills, including to diverse audiences.
- Experience managing stakeholder relationships and working in a practitioner/policy context.
- Experience working on interdisciplinary research projects.
Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered.
£39,735 per annum including London Weighting Allowance.
Research Assistant in GeoAI, Infectious Diseases, and Health Equity in London employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant in GeoAI, Infectious Diseases, and Health Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the GeoAI and health equity space. Attend relevant events or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on a job or can put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving spatial epidemiology or data science. This is your chance to demonstrate your programming prowess in R or Python and how you've tackled real-world problems. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas to diverse audiences. Mock interviews with friends or mentors can help you feel more confident and articulate.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals to join our team. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Research Assistant in GeoAI, Infectious Diseases, and Health Equity in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Assistant role. Highlight your relevant experience in spatial epidemiology and programming skills in R or Python, as these are key for us at StudySmarter.
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills align with the job description. If you've worked on interdisciplinary projects or have experience in public health, let us know how that makes you a great fit!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We want to see your communication skills shine through, especially since you'll be working with diverse audiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates about your application status!
How to prepare for a job interview at Economicsnetwork
✨Know Your Research
Make sure you’re well-versed in Dr. Sabrina Li's work and the specific project you'll be contributing to. Familiarise yourself with the concepts of GeoAI, infectious diseases, and health equity. This will not only show your genuine interest but also help you engage in meaningful discussions during the interview.
✨Showcase Your Skills
Prepare to discuss your programming proficiency in R or Python, and any experience you have with spatial and statistical libraries. Be ready to provide examples of how you've developed models or worked with real-world data in previous projects. This is your chance to shine!
✨Demonstrate Team Spirit
Since collaboration is key in this role, think of examples where you've successfully worked within a team. Highlight your commitment to fostering an inclusive environment and how you’ve managed stakeholder relationships in past projects. This will resonate well with their focus on interdisciplinary work.
✨Prepare Questions
Have a few thoughtful questions ready about the role, the team, or the research environment at King’s College London. This shows that you’re not just interested in the position but also in how you can contribute to the lab's goals and the broader impact of the research.
