Research Assistant in GeoAI, Infectious Diseases, and Health Equity
Research Assistant in GeoAI, Infectious Diseases, and Health Equity

Research Assistant in GeoAI, Infectious Diseases, and Health Equity

Full-Time 34700 - 43200 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of a database for disease surveillance and contribute to innovative health research.
  • Company: Join King’s College London’s GeoAI for Health Equity Lab, a leader in health 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 required.
  • Other info: Collaborate with international partners and enjoy excellent career growth opportunities.

The predicted salary is between 34700 - 43200 ÂŁ 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.
  • Desirable criteria
    • 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.

    ÂŁ39,735 per annum including London Weighting Allowance

    Research Assistant in GeoAI, Infectious Diseases, and Health Equity employer: Economicsnetwork

    King's College London is an exceptional employer, offering a dynamic and inclusive work environment where research assistants can thrive. With access to cutting-edge resources and training from esteemed partners like King's Health Partners and the Digital Futures Institute, employees are well-supported in their professional development. The collaborative culture fosters interdisciplinary partnerships, ensuring that your contributions directly impact public health policy and equity in health outcomes.
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    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

    ✨Tip Number 1

    Network like a pro! Reach out to people in your field, especially those connected to King’s College London or the GeoAI for Health Equity Lab. A friendly chat can open doors and give you insights that a job description just can't.

    ✨Tip Number 2

    Prepare for interviews by brushing up on your knowledge of spatial epidemiology and infectious diseases. We want to see your passion and expertise shine through, so practice explaining complex concepts in simple terms!

    ✨Tip Number 3

    Showcase your skills with a portfolio! If you've worked on relevant projects or have publications, gather them together. This will help us see your practical experience and how you can contribute to our research goals.

    ✨Tip Number 4

    Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.

    We think you need these skills to ace Research Assistant in GeoAI, Infectious Diseases, and Health Equity

    Spatial Epidemiology
    Quantitative Geography
    Remote Sensing
    Statistics
    Data Science
    Programming in R
    Programming in Python
    Version Control with Git
    Familiarity with INLA
    Familiarity with PyMC
    Familiarity with scikit-learn
    Familiarity with GeoPandas
    Independent Work
    Publishing Peer-Reviewed Papers
    Collaboration Skills
    Communication Skills

    Some tips for your application 🫡

    Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the role. We want to see how you can contribute to our mission at GAHEL, so don’t hold back on showcasing your relevant projects!

    Show Off Your Skills: Don’t forget to mention your programming prowess in R or Python, and any experience with spatial data libraries. We’re keen to see how you’ve used these tools in real-world scenarios, so give us the details!

    Communicate Clearly: Your written communication skills are crucial for this role. Make sure your application is clear, concise, and free of jargon. We want to understand your ideas easily, so keep it straightforward and engaging!

    Apply Through Our Website: We encourage you to submit your application through our official website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at King’s College London!

    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 articulate how your skills align with the research goals.

    ✨Showcase Your Technical Skills

    Be prepared to discuss your programming proficiency in R or Python, and any experience you have with version control systems like Git. Bring examples of your previous work, especially any models or mapping projects you've developed using real-world data. This will demonstrate your hands-on experience and technical capabilities.

    ✨Highlight Collaboration Experience

    Since this role involves working with interdisciplinary partners, share specific examples of how you’ve successfully collaborated in teams. Emphasise your commitment to fostering an inclusive work environment and how you’ve managed stakeholder relationships in past projects.

    ✨Prepare for Questions on Equity and Public Health

    Expect questions related to equity considerations in public health and how they relate to disease mapping and surveillance. Think about how your background in spatial epidemiology or quantitative geography can contribute to developing equitable, data-driven approaches. Being able to discuss these topics confidently will set you apart.

    Research Assistant in GeoAI, Infectious Diseases, and Health Equity
    Economicsnetwork
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    • Research Assistant in GeoAI, Infectious Diseases, and Health Equity

      Full-Time
      34700 - 43200 ÂŁ / year (est.)
    • E

      Economicsnetwork

      50-100
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