Principal Data Scientist
Tasks
- Adapt AI foundation models to internal datasets
- Break down data science problems into projects
- Collaborate with bioinformatics statistics and medical experts
- Contribute to evidence generation and diagnostic technology development
- Delegate technical work and monitor progress
- Document projects and develop analyses and visualizations
- Identify data sources and obtain high quality annotations
- Identify high value research questions and datasets
- Lead development of digital pathology AI models
- Manage project execution from research question to completion
- Provide technical leadership and mentor team members
- Translate clinical and business requirements into algorithms
Perks/Benefits
- Collaborative multidisciplinary environment
- Comprehensive benefits
- Continued learning
- Inclusive workplace
- Mentorship
- On site workspace options
- Professional growth
- Remote-friendly work environment
- Technical leadership
Skills/Tech-stack
AWS | Computer Vision | Data Manipulation | Data Preparation | Data Visualization | Digital Pathology | Hypothesis Testing | Interaction effects | Machine Learning | Model Explainability | Multimodal Learning | Multivariate Regression | Python | Slide imaging | Statistical Analysis | Survival analysis | Whole slide imaging
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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