Principal Data Scientist
Veracyte · Canada ; San Diego, California, United States; South San Francisco, California, United States · US
Posted 60+ days ago
Clinical Data Science
On-site
Not yet analysed
Demand85
Career growth90
Healthcare fit35
Remote potential70
5-year outlook
Principal Data Scientists in health tech with oncology AI expertise command top-tier compensation, likely in the high six figures, with strong growth as AI diagnostics expand.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with a PhD in data science or machine learning and oncology domain knowledge should consider this role for its high impact and compensation. Typical clinicians without advanced computational skills will find the requirements prohibitive.
Who should apply
Physicians (especially pathologists or oncologists) with a PhD in data science, ML, or bioinformatics, and 8+ years of applied AI experience in disease-related fields.
CV angle
Emphasize clinical domain expertise in oncology and pathology, combined with hands-on ML projects, Python, and experience with whole slide images or similar imaging data. Frame clinical experience as a unique asset for developing biologically explainable AI models.
Skills to highlight
- Python
- Machine Learning
- Computer Vision
- Digital Pathology
- Survival Analysis
- Cloud Computing (AWS)
- Statistical Modeling
- Cross-functional Collaboration
Role summary
Lead the development of AI models for digital pathology to predict cancer outcomes, using large oncology databases and collaborating with medical experts to build diagnostic products.
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