Sarvas Health Ltd
Clinical Research Assistant
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Company Description
Sarvas Health is an early-stage healthtech company developing predictive models for chronic disease risk using routine primary care electronic health records. Our first model, HF2.0, predicts risk of heart failure onset within 5 years from GP records. We have been awarded Innovate UK funding to conduct an 11-month feasibility study assessing whether sex-stratified approaches to HF risk prediction can reduce diagnostic disparity in women.
Role Description
This is a fixed-term research role supporting a funded Innovate UK feasibility study. You will lead the clinical literature review and provide clinical research support across the project's five work packages, working closely with our Chief Product Officer, Clare Simpson, and with clinical oversight from our Chief Medical Officer, Dr Matthew Kahn, Consultant Cardiologist at Liverpool Heart and Chest Hospital.
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Key responsibilities:
- Lead a systematic clinical literature review covering sex differences in HF symptom presentation, subtype prevalence, hormonal influences, diagnostic threshold limitations, and legacy data bias in clinical AI
- Map literature findings to clinical codes used in primary care EHR systems
- Support data access applications to Our Future Health, including protocol preparation and ethics documentation (if required)
- Provide clinical input to the technical feasibility assessment, including validation of bias quantification findings
- Support the commercial and regulatory feasibility assessment with clinical evidence on NHS pathway integration and GP adoption
- Contribute to the final feasibility report and dissemination outputs, including preparation of materials for peer-reviewed publication
Essential requirements:
- A postgraduate qualification in a relevant clinical or biomedical field, for example an MSc or PhD in cardiovascular science, clinical epidemiology, public health, health data science, or a related discipline
- Experience conducting systematic or structured literature reviews
- Ability to work independently and manage your own workload across a part-time engagement
- Strong written communication skills, including experience writing for academic or clinical audiences
- An interest in health equity, women's health, or equitable AI
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Desirable:
- Familiarity with heart failure diagnosis and management, including awareness of sex differences in cardiovascular disease presentation
- Experience with primary care EHR data or clinical coding systems (READ, SNOMED)
- Familiarity with AI or machine learning applications in healthcare
- Familiarity with Our Future Health, UK Biobank, or similar research databases
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