Postdoctoral Research Associate – Geeleher Lab (dry lab)
Core
Lead computational/AI research to identify therapeutic target pairs from atlas-scale pediatric single-cell and spatial transcriptomic datasets for emerging dual-targeted and logic-gated therapeutic strategies.
Role type
Postdoctoral Research Associate (Dry Lab)
Builds
AI-driven workflows and candidate target pairs for pediatric cancer therapies
Domain
Pediatric oncology / Computational biology / AI/ML
Deliverable
production ML models
Required skills
Python or R, single-cell or spatial transcriptomic analysis, machine learning, scientific writing, project leadership
Preferred skills
LLMs, AI agents, multimodal data integration, automated biological interpretation, pediatric cancer experience
Technologies
R, Python
Responsibilities
Lead independent computational/AI research projects; Develop AI and agent-based workflows integrating large-scale genomic datasets; Nominate disease-selective cell-surface antigens; Work closely with wet-lab scientists to design validation studies; Generate publication-quality analyses and visualizations; Lead projects toward publication; Present research findings at conferences; Mentor junior lab members
Seniority
Postdoctoral, independent researcher
