Lead Bioinformatics & Machine Learning Scientist
Core
Develop and evaluate machine learning models for cancer detection in the minimal residual disease (MRD) setting using tissue-free, methylation-based assays.
Role type
Lead Bioinformatics & Machine Learning Scientist
Builds
Machine learning models for cancer detection and treatment selection
Domain
Oncology / Genomics / Bioinformatics
Deliverable
production ML models
Required skills
Algorithm development, Genomics/Sequencing data processing, Machine Learning (GLMs, kernel methods, tree-based, neural networks), Python, Linux/Shell scripting, Statistical analysis, Data visualization
Preferred skills
Experience with public databases (TCGA, COSMIC, OncoKB), Cross-functional collaboration
Technologies
Python, NumPy, Matplotlib, Pandas, Linux, TCGA, COSMIC, OncoKB
Responsibilities
Develop, train, and evaluate ML models for cancer detection; Own end-to-end research analyses from ideation to implementation; Translate between wet-lab experimental design and computational analysis; Maintain quality control across high-volume sequencing data; Communicate findings to technical and non-technical stakeholders
Seniority
Senior, hands-on IC with leadership responsibilities
