Principal Deep Learning/AI Engineer, Bioinformatics
Core
Inventing, implementing, and validating AI- and ML-driven bioinformatics methods to power Illumina's sequencing and analysis products for early disease detection and diagnosis.
Role type
Principal Deep Learning/AI Engineer (Bioinformatics)
Builds
AI/ML features embedded in Illumina sequencing and analysis software and pipelines
Domain
Genomics and multiomics (basecalling, variant calling, error modeling, QC, anomaly detection, methylation, single-cell, metagenomics, assembly, interpretation)
Deliverable
production ML models
Required skills
algorithm design, model development, benchmarking, production readiness, technical direction, mentorship, data strategy, architecture design, regulatory validation
Preferred skills
null
Technologies
null
Responsibilities
Design, prototype, and implement AI/ML methods for genomics and multiomics; Serve as technical authority for AI features from concept through production release; Lead a focused team to create and sustain ML/AI products; Define gold-standard datasets, evaluation metrics, and statistical validation approaches; Ensure models are reproducible, versioned, monitored, and robust in production; Drive data strategy including curation, labeling, augmentation, and bias analysis; Lead architecture and design reviews for AI components; Provide technical input for design controls and validation in regulated contexts
Seniority
Principal, hands-on IC with mentorship
