Senior Data Scientist, Medical Imaging
Core
Drive data-centric AI initiatives to understand how real-world imaging conditions affect deep learning algorithm accuracy and reproducibility in medical imaging.
Role type
Senior Data Scientist (Medical Imaging)
Builds
Robust analytical pipelines, harmonization methods, and data curation protocols for FDA submissions and product development.
Domain
Medical Imaging / Cardiovascular Health / AI
Deliverable
production ML models
Required skills
statistical data analysis, deep learning, medical imaging expertise, Python, data curation, annotation protocol development, measurement science (reproducibility statistics), cross-functional communication
Preferred skills
domain generalization research, multi-vendor CT dataset experience, SaMD product development, biostats for regulatory filings, cloud data querying
Technologies
PyTorch, pandas, scipy, statsmodels, seaborn, matplotlib, AWS, SQL
Responsibilities
Build reproducible analytical pipelines over population-scale data to characterize dataset distributions and model vulnerabilities. Develop and validate methods for harmonizing complex data-related factors and image variations. Translate data variance findings into actionable data curation requirements and architectural recommendations. Develop annotation protocols for algorithm training and validation. Partner with cross-functional teams to derive clear analyses from messy data and drive decision-making.
Seniority
Senior, hands-on IC
