Clinical Research Associate - AI engineer

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