Clinical Research Expert – Health Data & AI Platform Development
Location: Flexible / Remote (with collaboration across global teams)
Employment Type: Full-time / Contract
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.
Key Responsibilities
- 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
Required Qualifications
- Advanced degree (MD, PhD, PharmD, or equivalent) in Clinical Research, Medicine, Public Health, or related field
- 5+ years of experience in clinical research, healthcare data analysis, or real-world evidence (RWE)
- Strong experience working with PHI data (EHR/EMR systems, clinical datasets)
- Solid understanding of clinical trial design, biostatistics, and epidemiology
- Familiarity with AI/ML concepts and their application in healthcare
- Experience collaborating with technical teams (data scientists, engineers)
- Knowledge of healthcare data standards (ICD, SNOMED, HL7, FHIR)
- Strong understanding of regulatory and compliance frameworks (HIPAA, GDPR)
Preferred Qualifications
- 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
Key Competencies
- Clinical insight with strong analytical thinking
- Ability to translate complex medical data into actionable insights
- Cross-functional collaboration and communication
- Problem-solving in ambiguous, data-heavy environments
- High attention to detail and data governance
What Success Looks Like
- Development of clinically robust AI models using PHI data
- High-quality, compliant, and scalable healthcare data pipelines
- Measurable improvements in healthcare outcomes or operational efficiency
- Strong alignment between clinical needs and AI capabilities
Compensation & Benefits
Competitive salary, flexible work environment, health benefits, and opportunities to work on cutting-edge AI healthcare innovations.
How to Apply
Please submit your resume along with a brief summary of relevant experience in clinical data analysis and AI-driven healthcare solutions.
Pay: AED15,000.00 - AED50,000.00 per month
Work Location: In person