Senior Scientist - Predictive Modeling & Biomarker Analytics
Q Bio(1 month ago)
About this role
A Senior Scientist at Q Bio focuses on predictive modeling and biomarker analytics to transform rich multimodal health data into actionable insights. The role centers on designing, validating, and deploying models that link imaging, lab, and genomic biomarkers to health risks. This position is highly technical and collaborates closely with engineering, product, and clinical teams. The scientist also contributes to integrating models into Q Bio’s platforms for visualization and clinical interpretation.
Required Skills
- Predictive Modeling
- Biomarker Analytics
- Risk Stratification
- Multi Modal Integration
- Pattern Recognition
- Feature Engineering
- Statistical Learning
- Data Normalization
- Model Interpretability
- Python
+14 more
Qualifications
- MS in Biomedical Engineering
- PhD in Biomedical Engineering
- MS in Computational Biology
- PhD in Computational Biology
- MS in Data Science
- PhD in Data Science
About Q Bio
q.bioQ Bio develops an automated, physics- and AI-driven platform for comprehensive digital physical exams, combining advanced imaging and multi‑modal biometric data to quantify health and disease risk. Their technology captures longitudinal, high‑resolution measurements and applies machine learning and physics-based models to enable early detection, personalized prevention, and automated triage/routing. Q Bio’s goal is to make preventive, personalized healthcare broadly available by turning the physical exam into continuous, actionable data for patients, clinicians, and health systems.
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