Faculty Position, Center of Excellence in Neuro-Oncology Sciences (CENOS)
Core
Lead a multidisciplinary research program to advance understanding of malignant childhood brain tumors through fundamental biology, neuroscience, neuro-immunology, metabolism, and data science.
Role type
Research faculty (Assistant/Associate Member, equivalent to Assistant/Associate Professor)
Builds
Novel selective dependencies, mechanisms governing tumor vulnerabilities, and advanced data science methodologies for biological discovery and diagnostics.
Domain
Pediatric oncology, neuro-oncology, cancer neuroscience, and translational research
Deliverable
production ML models | research
Required skills
mechanistic and translational research, human stem cell and organoid models, multi-omics technologies, cancer neuroscience strategies, neuro-immune interactions, metabolic dependencies, machine learning, artificial intelligence, advanced data science
Preferred skills
N/A
Technologies
Lattice Light Sheet microscopes, MOSAIC microscopes, Helios and Teneo 3D electron microscopes, multiphoton microscopes, optogenetic capabilities, super-resolution modalities
Responsibilities
Develop human stem cell and organoid models to study tumorigenesis mechanisms; apply advanced multi-omics technologies to characterize tumor and immune states; deploy cancer neuroscience strategies to study communication networks; investigate neuro-immune interactions and metabolic dependencies; evaluate novel selective dependencies; apply machine learning and AI to enhance biological discovery and treatments.
Seniority
Senior, independent investigator with collaborative leadership