Rachael Burris
Hi, I’m Rachael Burris, an AI and machine learning leader with 5+ years of experience designing and deploying data-driven systems in health care.
About
Hi, I’m Rachael Burris, an AI and machine learning leader with 5+ years of experience designing and deploying data-driven systems in health care. I’ve built scalable data infrastructure, clinical NLP pipelines, and cloud-based ML workflows that power production AI.
I have proven expertise in transformer-based models (BERT, GPT), medical data standards (CDISC, SNOMED CT), and compliant cloud platforms (Azure). I translate clinical and real-world data into production AI while ensuring ethical, secure, and scalable deployment in regulated health care environments. I collaborate with pharma, CROs, and academic partners to deliver responsible AI solutions that meet regulatory and real-world evidence requirements.
- 10 years' experience
- Joined January 2026
Skills· 14
Languages
- EnglishFluent
Industry experience
- Healthcare
- Life Sciences
- Professional Services
- Software & Internet
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Work experience· 5 roles
Mentored graduate students on machine learning, health analytics, and reproducible ML workflows. Assisted with course logistics, graded assignments, and contributed to student projects involving healthcare data and ML experiments.
Led the organization-wide AI initiative roadmap, deploying transformer-based models (BERT, GPT) for clinical NLP tasks including entity extraction, classification, and sentiment analysis. Designed scalable production ML workflows and maintained governance across data pipelines. Built standardized, model-ready medical datasets aligned to CDISC, SNOMED CT, and ICD-10 to enable reproducible analytics at scale. Oversaw cloud-based model deployment and lifecycle management in regulated healthcare environments, ensuring compliance with GDPR/HIPAA/GCP standards and robust monitoring. Partnered with pharma, CROs, and academic teams to align AI outputs with regulatory and real-world evidence requirements using agile practices.
Led foundational data collection initiatives across 80+ sites. Ensured data quality and governance while maintaining regulatory compliance (GCP, HIPAA). Partnered with vendors to improve data standardization and analytics readiness.
Education
Certifications and awards
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