Senior Scientist, Computational Biology (Multimodal Data Integration)
Core
Lead the vertical integration of multimodal datasets (transcriptomics, epigenomics, clinical data) to associate biological mechanisms with clinical outcomes in oncology.
Role type
Senior Scientist, Computational Biology (Multimodal Data Integration)
Builds
Computational frameworks and advanced statistical models for multi-state modeling and patient subtyping.
Domain
Oncology / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
Advanced statistical modeling, Systems biology, Model interpretability, High-dimensional data integration, Cancer biology, R, Python, Scalable workflow development
Preferred skills
Agentic coding tools, Data visualization, Stakeholder collaboration
Technologies
R, Python, NGS, Single-cell, Proteomics, ctDNA, Imaging
Responsibilities
Integrate diverse disease-specific large datasets; Develop methods to associate pre-clinical model profiles with clinical segments; Design and deploy computational workflows leveraging ML methods; Develop interpretable AI models to explain biological mechanisms; Co-create technical roadmaps for complex experimental questions; Provide vision for transitioning from data processing to biomarker development.
Seniority
Senior, hands-on IC