Principal Data Scientist
Posted Updated 4
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Summary
Lead AI model development for digital pathology using whole-slide imaging, collaborating with bioinformatics and medical teams to predict clinical outcomes and ensure explainability.
- Adapt AI foundation models to institutional data
- Analyze complex data and ML problems
- Break work into actionable subprojects
- Collaborate with internal and external partners on requirements
- Coordinate project execution and deliverable correctness
- Define research questions and datasets
- Develop digital pathology AI models using WSI data
- Document projects for publication
- Ensure biological explainability of AI models
- Generate analyses and visualizations
- Identify data sources for ML development
- Lead annotation and label acquisition
- Lead cross-team collaboration
- Partner with bioinformatics statistical and medical experts
- Predict clinical outcomes and pathological features
- Provide technical leadership and delegate tasks
- Tailor algorithms to clinical and business needs
Perks/Benefits:
- Career growth opportunities
- Employee recognition
- Inclusive workplace
- Remote-friendly work environment
- Training and development