Faculty Position - Department of Computational Biology
Core
Developing next-generation omics platforms and AI foundation models for pediatric precision medicine and cancer research.
Role type
Faculty (Assistant/Associate/Full Member) in Computational Biology
Builds
Novel computational methods, assay-algorithm co-designed tools, and agentic AI systems for biomedical data.
Domain
Biomedical research, pediatric oncology, genomics, and artificial intelligence
Deliverable
production ML models | research
Required skills
assay-algorithm co-design, foundation model development, multimodal learning, clinical informatics, trustworthy AI, LLM-driven agentic systems
Preferred skills
CRISPR functional genomics, single-cell and spatial omics, regulatory genomics, computational pathology
Technologies
CRISPRi/a, Perturb seq, WSI, EHR, LLMs, cloud computing, HPC
Responsibilities
Pioneer assay-algorithm co-design, build foundation models and agentic AI tools, lead reproducible and open science projects
Seniority
Senior, hands-on IC with research leadership
