Research Fellow Family Medicine
Rochester, NH - USA
Job Summary
The Postdoctoral Research Fellow will have a primary focus on clinical informatics-driven health services and translational research with strong emphasis on AIenabled risk stratification cardiogenetics and implementation of clinical decision support (CDS) tools in primary care.
Key responsibilities and activities will include:
- Conducting EHRbased clinical research using large longitudinal datasets to support development and validation of AI/ML models for early detection of inherited cardiac conditions (e.g. long QT syndrome hypertrophic cardiomyopathy arrhythmogenic cardiomyopathy).
- Supporting data integration and feature engineering across structured and unstructured sources including family history data ECG parameters AIderived ECG phenotypes and clinical covariates.
- Assisting with model development validation and performance evaluation in collaboration with biostatistics data science and clinical informatics experts.
- Participating in health services and implementation science activities including workflow assessment clinician and patient stakeholder interviews and codesign of CDS tools for integration into primary care practice.
- Contributing to retrospective and prospective study analyses prevalence estimation using AIassisted methods and simulation of clinical impact compared with standard referral practices.
- Preparing manuscripts abstracts and reports and supporting regulatory and IRB documentation related to AIenabled clinical research.
- Working closely with a multidisciplinary team spanning family medicine cardiology cardiovascular genomics clinical informatics quantitative health sciences and AI research.
Type of research:
This position is not labbased. The fellows work will primarily involve:
- Clinical research
- Health services research
- Clinical informatics / bioinformatics
- AI/MLenabled translational research
Qualifications
Must have a Ph.D. M.D. or equivalent doctoral degree in a field deemed relevant by the program.
Key Skills
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