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At a glanceSummarised by Seekless from the posting.
Must have6
Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
Experience with model evaluation, benchmarking, and quality metrics
Proficiency in Python and modern ML development tools
Strong statistical foundations
Ability to read, implement, and extend research papers
Excellent communication skills
Nice to have6
Master's degree in Computer Science, Machine Learning, Statistics, or related quantitative field
PhD in related quantitative field
Publications in top ML/AI venues (NeurIPS, ICML, ICLR, ACL)
Experience with RLHF, DPO, or preference optimization techniques
Background in healthcare AI or regulated industries
Experience building evaluation systems for production LLM applications
Skills
PyTorch
Python
LLM
About the Role
We’re looking for a Data Scientist to own the quality, reliability, and trustworthiness of our clinical AI outputs. You’ll build the systems that ensure our AI “knows what it doesn’t know” — developing evaluation frameworks, calibrated confidence scoring, and automated quality assurance that physicians can actually trust.
What You’ll Do
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Design and implement automated evaluation pipelines that assess AI output quality, accuracy, and safety at scale
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Develop uncertainty quantification systems where confidence scores meaningfully correlate with accuracy
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Build comprehensive evaluation frameworks combining automated assessment with clinician-validated test cases
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Implement feedback loops that continuously improve model outputs based on validation signals
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Establish scalable quality gates that catch errors before they reach end users
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Contribute to model alignment and fine-tuning efforts
Qualifications
Required
•
Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
•
Experience with model evaluation, benchmarking, and quality metrics
•
Proficiency in Python and modern ML development tools
•
Strong statistical foundations
•
Ability to read, implement, and extend research papers
•
Excellent communication skills
Preferred
•
Master’s degree in Computer Science, Machine Learning, Statistics, or related quantitative field (PhD preferred)
•
Publications in top ML/AI venues (NeurIPS, ICML, ICLR, ACL)
•
Experience with RLHF, DPO, or preference optimization techniques
•
Background in healthcare AI or regulated industries
•
Experience building evaluation systems for production LLM applications