Postdoctoral Researcher - Computational & Translational Analysis of Pulmonary Nodules
Core
Lead unbiased computational integration of spatial transcriptomics, genomic alterations, histopathology, and radiomic features to interpret molecular states of pulmonary nodules and discover biomarkers for early lung cancer detection.
Role type
Postdoctoral Researcher (Computational Biology/Bioinformatics)
Builds
Biomarker discovery pipelines, patient-facing data return frameworks, and high-impact interdisciplinary publications
Domain
Oncology / Computational Biology / Spatial Transcriptomics
Deliverable
production ML models
Required skills
Spatial transcriptomics analysis, Genomic alteration profiling (SNVs, CNAs), Unsupervised learning and clustering, R and Python, Histopathology data integration, Radiomic feature analysis
Preferred skills
Single-cell omics experience, Patient engagement facilitation, Workshop co-facilitation
Technologies
R, Python, FFPE sample processing workflows
Responsibilities
Lead integrative analysis of multimodal data (spatial transcriptomics, genomics, radiomics), Identify biomarkers for liquid biopsy and PET tracer discovery, Co-design patient data return frameworks, Lead preparation of high-impact publications
Seniority
Postdoctoral Researcher, hands-on IC