AI Bioinformatics Engineering Lead
Sequencing.com
Location
Remote (US)
Job Type
Full-time
Posted
May 8, 2026
Views
236
Job Description
Sequencing.com is a profitable Series A company at the intersection of biotech, genomics, and personalized health. As the world's largest direct-to-consumer genomics platform, they seek an AI Bioinformatics Engineering Lead to sit within the AI team and collaborate with backend engineering, bioinformatics, and product leaders to shape how genomic data is evaluated and validated.
Key Responsibilities
- Own gene, disease, and variant mapping logic in the AI system
- Design and maintain how genomic data is used and interpreted in AI workflows
- Define approaches for handling complex and edge-case genomic scenarios
- Set measurable accuracy thresholds for AI-powered features
- Lead the overall evaluation and benchmarking strategy for AI outputs
- Establish regression standards so future changes preserve or improve accuracy
- Partner with AI Bioinformatics Benchmarking Engineer on automated validation
- Work closely with AI, Bioinformatics, Product, and Engineering leaders on system design
- Recommend where deterministic logic should supplement model behavior in production
Required Qualifications
- Advanced degree in Bioinformatics, Computational Biology, or closely related field
- Strong experience with VCFs and complex genomic datasets
- Familiarity with ClinVar, dbSNP, HGVS standards, transcript databases, and variant classification
- Systems-level leadership defining standards and frameworks for correctness
- Experience working with production software engineering teams
- Experience collaborating with AI or LLM-based systems
- Experience setting or contributing to evaluation and benchmarking frameworks
Frequently Asked Questions
Where is the job located?
This is a remote position based in the US.
What are the main responsibilities of this role?
You will own gene, disease, and variant mapping logic; design how genomic data is interpreted in AI workflows; define approaches for handling complex genomic scenarios; and set accuracy thresholds for AI-powered features.
What qualifications are required for this role?
An advanced degree in Bioinformatics, Computational Biology, or a related field is required, along with strong experience with VCFs and genomic datasets, and experience with production software engineering teams.
Will visa sponsorship be provided?
This information is not specified in the job description.
Job Information
Source:
manual
AI Relevance:
95/100
(Highly relevant)
Remote Type:
remote
Experience:
Senior
Allowed Locations:
Worldwide
Skills & Tags:
bioinformatics
AI
genomics
VCF
variant classification
ClinVar
LLM
benchmarking
personalized medicine
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