AI Bioinformatics Benchmarking Engineer

The Position

The Impact

• Build and run automated evaluation pipelines for AI outputs end-to-end.
• Expand regression datasets that cover variant normalization, transcript ambiguity, and disease-level mapping.
• Execute large-scale validation runs across curated VCF datasets, track performance over time, and surface accuracy regressions the moment they appear.
• Grow a structured question bank using and related datasets, encoding the edge cases that matter most.
• Ship automated regression tests for every AI release and build dashboards that make variant-level and case-level accuracy visible to the whole team.
• Partner with engineering to wire validation directly into CI/CD, and diagnose and document failure modes as they emerge.

Dominant and Recessive Traits

• Degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Deep, hands-on experience with VCFs and real-world genomic datasets.
• Fluency with ClinVar, dbSNP, HGVS standards, and transcript mapping.
• A track record building evaluation frameworks or testing pipelines, Langfuse or similar.
• Experience evaluating LLM-based systems and standing up automated QA at scale.

Benefits Overview

• Comprehensive medical, dental, and vision insurance coverage
• 401(k) with company matching
• Paid time off (PTO)
• Paid volunteer time off
• Fully remote work with home office stipend
• Parental bonding leave
• Clinical-grade whole genome sequencing for you and your family (private and confidential)

Join Sequencing

• Redefine how people understand themselves through their DNA
• Build category-defining products alongside scientists, engineers, and innovators
• Contribute to technology that will improve and extend millions of lives
• Shape one of the most important emerging categories in AI and healthcare