Senior Data Scientist, Medical Imaging

What you'll do

• Build reproducible analytical pipelines and visualizations to characterize dataset distributions and model vulnerabilities.
• Develop and validate data harmonization methods, and translate findings into data curation, training robustness, and algorithm recommendations.
• Develop annotation protocols for training and validation; communicate analyses across research, engineering, product, and regulatory teams.

What they ask for

• Master’s or PhD in Data Science, Computer Science, Medical Image Analysis, Statistics, Biomedical Engineering, or a related quantitative field.
• 5+ years of industry experience in Data Science, Machine Learning, or Image Analysis, or 3+ years with a PhD.
• Working command of reproducibility and agreement statistics; deep understanding of medical imaging; expert proficiency in Python and statistical data analysis.
• Hands-on deep-learning experience for medical-image computer vision tasks; demonstrated proficiency using modern agentic tools and LLMs in daily work.

Nice to have

• Published medical-imaging research related to domain generalization, image harmonization, or OOD detection.
• Experience with multi-vendor CT datasets, cloud storage or SQL, SaMD, regulatory filings, or biostatistics for FDA submissions.

Pay

$170,000 to $240,000 USD base salary

Tools

Python, pandas, scipy, statsmodels, seaborn/matplotlib, PyTorch, GitHub Copilot, Gemini

AI focus

Uses and develops deep-learning methods for medical imaging, investigates data variation and model behavior, and applies agentic tools and LLMs to accelerate development and build reproducible pipelines.