Director of Bioinformatics and Machine Learning
Core
Lead technology and biomarker research for cancer early detection programs using cell-free DNA (cfDNA) assays.
Role type
Director of Bioinformatics and Machine Learning
Builds
Next generation cfDNA assays for multi-cancer early detection, tissue-free molecular residual disease, and single-cancer screening
Domain
Clinical diagnostics, oncology, genomics, next-generation sequencing (NGS)
Deliverable
production ML models
Required skills
Bioinformatics, machine learning, statistical modeling, next-generation sequencing (NGS) data analysis, cohort selection, confounder control, validation strategies, team leadership, scientific communication
Preferred skills
Clinical diagnostics experience, oncology domain expertise, epigenomics, cfDNA/liquid biopsy, publication/patent record in computational oncology
Technologies
High-throughput sequencing data, genomic datasets
Responsibilities
Define and execute research roadmaps for cancer early detection; Lead, hire, and develop a team of scientists; Own computational design of research studies; Partner with molecular biology teams to design experiments; Serve as computational subject matter expert; Advance scientific leadership through publications and IP
Seniority
Director, hands-on scientific leader with 10+ years post-PhD experience