Role overview
We are seeking a highly skilled Clinical Research Expert to lead the design, analysis, and application of Protected Health Information (PHI) datasets for the development of an advanced AI-driven healthcare platform. This role bridges clinical expertise, data science, and regulatory compliance to ensure that health data is transformed into meaningful, safe, and scalable AI solutions.
What you'll work on
- Lead clinical data strategy for AI platform development using PHI datasets (EHR, EMR, claims, registries, etc.)
- Design and oversee data analysis frameworks to extract clinically relevant insights
- Collaborate with data scientists, AI engineers, and product teams to translate clinical requirements into scalable AI models
- Ensure data quality, integrity, and clinical validity across all datasets and outputs
- Guide feature engineering and labeling processes for machine learning models
- Interpret AI model outputs and validate them against clinical standards and real-world evidence
- Ensure compliance with healthcare regulations and data privacy laws (HIPAA, GDPR, etc.)
- Develop clinical use cases such as predictive modeling, patient stratification, risk scoring, and decision support systems
- Contribute to research publications, validation studies, and regulatory documentation
- Act as subject matter expert (SME) in clinical research methodologies and healthcare data standards
What we're looking for
- Experience in AI/ML healthcare product development
- Background in digital health, health tech startups, or SaaS platforms
- Programming or data analysis experience (Python, R, SQL)
- Experience with cloud-based healthcare data platforms
- Publications in peer-reviewed journals or involvement in clinical trials
Tags & focus areas
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