Clinical Research Associate – AI engineer

May 26, 2026
Application ends: August 24, 2026

Job Description

REQUIREMENTS

  • 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

  • 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

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

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