At a Glance
- Tasks: Join the Solace-AI team to lead quantitative analyses and improve evidence synthesis methods.
- Company: King's College London, a top-ranked university known for innovation in health and AI.
- Benefits: Full-time role with professional development opportunities and a fixed-term contract until 2028.
- Other info: Collaborate with world-leading experts across Africa, Europe, and North America.
- Why this job: Make a real impact on climate-related health emergencies using cutting-edge AI technology.
- Qualifications: Master's degree in a quantitative field and strong programming skills in Python or R.
The predicted salary is between 29700 - 36300 £ per year.
We are seeking a talented, numerate researcher at post-Master's level, with strong quantitative and programming skills (Python and/or R), to join the Solace-AI team as a Research Assistant in Applied AI for Evidence Synthesis. The successful candidate will provide data science expertise to the project, leading quantitative analyses and evaluations, and helping to drive improvements in evidence synthesis methods used in the evidence synthesis engine: the modular, AI-driven evidence synthesis pipeline underlying Solace-AI.
Solace-AI is a Wellcome Trust-funded initiative developing cutting-edge AI technology to transform how we synthesise and deliver research evidence during climate-related health emergencies. By automating the creation of rapid, scientifically-rigorous evidence syntheses, this groundbreaking project aims to provide decision-makers with timely, locally relevant research—particularly focusing on historically underserved communities affected by extreme weather events.
You will work closely with world-leading experts in AI, public health, and climate science across Africa, Europe, and North America, understanding, using, and adapting code (Python and R) to help build and refine the evidence synthesis engine, while leading quantitative analyses and evaluations of its performance. This is not a lead-developer role: software architecture and development is led separately by the project's software engineering team. You will be supported to develop your research profile and track record, including working towards a PhD fellowship application during the post. This is a full-time post (35 hours per week), and you will be offered a fixed term contract until 31/5/2028.
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 and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Essential criteria
- Master's degree (already awarded) in Data Science, Epidemiology, Statistics, Computer Science, Health Informatics, or another relevant quantitative discipline
- Demonstrated experience conducting quantitative or statistical analysis of health-related data, including data management, cleaning, and analysis
- Strong programming skills in Python and/or R, including the ability to read, understand, and adapt code written by others, gained through research, academic, or applied settings
- Experience applying machine learning, natural language processing, or other computational methods to health, biomedical, or research problems
- Clear scientific writing and communication skills, e.g. through research reports, dissertations, publications, or presentations, and a track record of working effectively to deadlines
- Desirable criteria
- Experience or interest in evidence synthesis methods (e.g. systematic reviews, evidence mapping, meta-analysis) or related research methodology
- Experience of collaborative software development practices (e.g. version control, testing, code review) and/or contributing to shared codebases
- Knowledge of, or interest in, climate change and health, particularly in low- and middle-income countries
At King's, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
Research Assistant in Applied AI for Evidence Synthesis in London employer: King's College London
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages professional development. Located in the heart of London, our institution offers unique advantages such as access to world-class resources and a vibrant community dedicated to advancing research and education.
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