AI Bioinformatics Engineering Lead

Job Summary

Collaborating closely with backend engineering, bioinformatics, and product leaders, the full-time AI Bioinformatics Engineering Lead will manage the evaluation and validation of genomic data, ensuring accuracy thresholds and benchmarking strategies are met in a remote work environment.

Key responsibilities

• Own gene, disease, and variant mapping logic within the AI system
• Define and maintain accuracy thresholds and release criteria for AI-powered features
• Lead the evaluation and benchmarking strategy for AI outputs, ensuring compliance with correctness standards

Required qualifications

• Advanced degree in Bioinformatics, Computational Biology, or a closely related field
• Strong experience with VCFs and complex genomic datasets
• Familiarity with ClinVar, dbSNP, HGVS standards, and variant classification
• Experience working with production software engineering teams and AI or LLM-based systems
• Proven ability to set and contribute to evaluation and benchmarking frameworks