Director, Oncology Data Science
Core
Director of Oncology Data Science leading multi-modal biomarker discovery and reverse translation from clinical datasets to inform oncology pipeline decisions.
Role type
Director, Oncology Data Science
Builds
Multi-modal biomarker discovery strategies and combination therapies for molecularly defined patient populations
Domain
Oncology / Bioinformatics / Computational Biology
Deliverable
production ML models
Required skills
Cancer Genomics, Statistical Learning, Machine Learning, High Dimensional Data Analysis, Immuno-Oncology, Multimodal Analysis, Real World Data, Scientific Computation, Data Mining
Preferred skills
Clinical Trial Data Analysis, Cancer Biology Concepts, Matrixed Industry Collaboration, Scientific Publishing
Technologies
RNAseq, WES/WGS, Imaging, Epigenetic Profiling, Single-cell RNAseq, Proteomics, Deep Learning, AI
Responsibilities
Enable reverse translation from large multi-modal clinical datasets to inform biomarker discovery; Analyze and visualize findings from clinico-genomic datasets including bulk RNAseq, WES/WGS, imaging, and proteomics; Leverage deep learning and AI methods to discover novel biomarkers predictive of clinical outcomes; Collaborate with AIML teams on foundation models; Present data analyses to inform stakeholders across discovery and clinical development teams.
Seniority
Director, strategic leadership & hands-on IC
