Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Core
Develop and validate machine learning methods for early cancer detection using cell-free DNA methylation data.
Role type
Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Builds
Production ML classifiers for oncology diagnostics
Domain
Oncology / Epigenomics / Cell-free DNA
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, genomics, sequencing data analysis, Python, pandas, NumPy, scikit-learn, Linux, Git, workflow managers (Nextflow, Snakemake), cloud/HPC compute
Preferred skills
Cancer genomics/epigenomics, cell-free DNA or methylation sequencing data, deep learning frameworks, high-throughput sequencing data analysis
Responsibilities
Drive technical workstreams from problem definition to classifier delivery, design and validate novel ML/statistical methods, establish best practices in model interpretability and reproducibility, design feature engineering pipelines for cfDNA data, collaborate with molecular biologists on experimental design, mentor scientists, lead code and design reviews
Seniority
Senior, technical leadership & mentorship
