Lead Bioinformatics & Machine Learning Scientist
Core
Develop and evaluate machine learning models to detect cancer in the minimal residual disease (MRD) setting using tissue-free, methylation-based assays.
Role type
Senior IC machine learning scientist (genomics)
Builds
Production ML models for cancer detection and treatment selection
Domain
Healthcare + Genomics/Sequencing
Deliverable
production ML models
Required skills
algorithm development, high-throughput DNA sequence data analysis, statistical methods, generalized linear models, tree-based algorithms, neural networks, Python, Linux command-line tools, data visualization
Preferred skills
experience with public databases (TCGA, COSMIC, OncoKB), teaching new methods
Technologies
Python, NumPy, Matplotlib, Pandas, Linux
Responsibilities
Develop, train, and evaluate ML models; own end-to-end research analyses from ideation to implementation; translate between wet-lab experimental design and computational analysis; communicate findings to stakeholders; establish code quality and reproducibility standards
Seniority
Senior, hands-on IC
