Staff Bioinformatics Scientist
Core
Lead the development and application of machine learning, statistical modeling, and bioinformatics for next-generation sequencing-based cancer prevention and detection products.
Role type
Staff Bioinformatics Scientist (Senior IC)
Builds
NGS-based diagnostic products and analytical workflows for cancer detection
Domain
Life Sciences / Genomics / Medical Devices
Deliverable
production ML models
Required skills
Next-generation sequencing (NGS) data analysis, statistical modeling, machine learning algorithm development, bioinformatics pipeline design, cloud computing for large-scale data, assay performance evaluation, reproducible workflow development, subject matter expertise in genomics
Preferred skills
AI in regulated environments, MLOps systems, deep learning on high-dimensional data, project lead experience, people leadership, GMP/ISO manufacturing environment experience, molecular diagnostics experience
Technologies
Cloud computing environments, modern bioinformatics tools, statistical learning libraries
Responsibilities
Lead development and optimization of ML/statistical models for NGS datasets; Design and implement bioinformatics algorithms for assay development and QC; Collaborate with wet-lab scientists on experiment design and result interpretation; Apply statistical methods to evaluate assay performance and variation; Develop reproducible analysis workflows; Process and manage large-scale sequencing datasets in cloud environments; Mentor junior team members; Support development in regulated environments
Seniority
Staff, Senior Individual Contributor
