Clinical Informatics Scientist
On-site · Tel Aviv, Tel Aviv, Israel
Job Summary
Translate complex clinical and biomedical concepts into computable data representations powering QuantHealth’s clinical simulation platform. Develop clinically valid indication and cohort definitions using diverse real-world data sources (EHR, claims, registry, clinical trial datasets); engineer disease- and treatment-specific features; construct reusable phenotype libraries and scalable indication frameworks; validate features against literature, guidelines, and real-world evidence; collaborate with clinical data scientists, delivery teams, and data engineers to ensure reproducibility and scalable data products; leverage Python, SQL, and modern analytical tooling to analyze large-scale clinical datasets; contribute to the evolution of QuantHealth’s internal clinical knowledge infrastructure and AI-enabled data curation workflows.
Required Qualifications
- MD, PhD, PharmD, MSc, MPH, RN, or equivalent degree in clinical informatics, epidemiology, life sciences, biomedical sciences, pharmacy, nursing, public health, or a related clinical or quantitative discipline.
- 2+ years of hands-on experience working with real-world healthcare data, EHR data, clinical analytics, clinical informatics, or data-driven healthcare research.
- Practical experience working with clinical datasets and translating clinical concepts into structured analytical definitions.
- Hands-on experience using Python and SQL for clinical data analysis and data manipulation.
- Strong understanding of clinical trial design, inclusion/exclusion criteria, endpoints, and longitudinal patient data.
- Experience developing or validating cohort definitions, phenotypes, progression endpoints, or retrospective clinical features.
- Familiarity with statistical concepts, observational analyses, and clinical data validation methodologies.
- Ability to independently investigate clinical questions using both data and scientific literature.
- Strong analytical thinking, attention to detail, and scientific rigor.
- Excellent collaboration and communication skills in cross-functional clinical and technical environments.
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