Applied Data Scientist, Health AI

Bringing clinical and data science expertise, the remote Applied Data Scientist, Health AI will design and evaluate datasets for health-domain models, ensuring clinical validity and compliance while collaborating with cross-functional teams. Key responsibilities Translate customer goals into dataset specifications, taxonomies, and evaluation plans for health AI applications Design and evaluate multimodal health AI datasets, ensuring clinical relevance and statistical defensibility Build and implement quality checks for healthcare datasets, focusing on bias analysis and compliance with regulations Required qualifications 5+ years of data science experience, including 2+ years in healthcare or regulated health data Working knowledge of healthcare data standards such as EHR structure, ICD-10, and CPT Hands-on experience designing ML datasets and writing annotation guidelines Strong proficiency in Python and SQL, with familiarity in tools like pandas and scikit-learn Degree in a relevant field such as biostatistics, health informatics, or computer science with a health focus