Heather Dye is a QC and biology specialist who leads quality systems for AI training data in biology, biomedical, and clinical domains at Scale AI, combining an MS in Cellular and Molecular Medicine from Johns Hopkins with eight years managing clinical trials. She designs and operationalizes HITL, RLHF, and rubric-based evaluation frameworks to ensure data integrity and amplify model performance. In less than a year as team lead she screened and onboarded 20 QC specialists, revised 15+ specifications, and cut audit overturns from 20% to 14% through data-driven coaching and process changes. Her background as a clinical research coordinator and contract editor gives her a rare mix of regulatory rigor, protocol-level attention to detail, and scientific communication skills. Equally comfortable with prompt engineering and audit arbitration, she bridges bench science and ML training workflows to make biomedical models safer and more reliable. Based in the DC–Baltimore area, she brings a practitioner’s perspective to quality systems that must satisfy both clinicians and AI teams.
8 years of coding experience
Bachelor of Science, Biology, 3.86 GPA, Bachelor of Science, Biology, 3.86 GPA at The College of William and Mary
MS, Cellular and Molecular Medicine, MS, Cellular and Molecular Medicine at Johns Hopkins School of Medicine
Contributions:191 commits, 1 PR, 1 push in 4 months
apiclimatedata
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Heather Dye - QC-Specialists Biology Team Lead at Scale AI