Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.
Sequencing is building the interface between humanity and its DNA.
Using clinical-grade whole genome sequencing, AI, and a rapidly expanding ecosystem of genomic applications, we help people better understand themselves, their health, and their future through their DNA.
The human genome is one of the most valuable and underutilized resources in the world. Our mission is to transform the human genome into a lifelong source of personalized guidance and build the trusted home for every genome on Earth.
As the world’s largest direct-to-consumer whole genome sequencing platform, Sequencing is helping define the future of AI-powered personalized health.
We’re a profitable, venture-backed, fully remote company building category-defining products that help people better understand themselves through their DNA.
The AI Bioinformatics Engineering Lead will sit within the AI team and collaborate closely with backend engineering, bioinformatics, and product leaders to shape how genomic data is evaluated and validated. Your success will be measured by robust evaluation and benchmarking strategies, clear accuracy thresholds, and production releases that consistently meet predefined correctness standards over time.
What you'll own
- 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.
- Define release criteria that AI features must meet before going live.
- Lead the overall evaluation and benchmarking strategy for AI outputs.
- Establish regression standards so future changes preserve or improve accuracy.
- Partner with the AI Bioinformatics Benchmarking Engineer on automated validation.
- Approve validation criteria that determine when AI features are ready for release.
- Work closely with AI, Bioinformatics, Product, and Engineering leaders on system design.
- Recommend where deterministic logic should supplement model behavior in production.
- Ensure interpretation logic can be maintained and updated as new genomic knowledge appears.
- 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, transcript databases, and variant classification.
- Systems-level leadership that defines 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.
- Comfortable working fully remote as part of a distributed team.
- 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)
- 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
Sequencing Inc. is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Sequencing Inc. may use artificial intelligence (AI) or automated tools as part of the recruiting and hiring process, including for application screening and candidate evaluation. These tools may analyze information provided in your application materials or during the hiring process. Where required by applicable law, candidates may request a reasonable accommodation or an alternative selection process by contacting [email protected].
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Provide corporate governance and legal entity administration support: coordinate board and shareholder meetings, maintain statutory registers and corporate records, prepare filings and legal documents, liaise with directors, auditors, and advisers, manage share capital administration, and support operational tasks such as bank account administration.
Top Skills:
Document Management SystemsExcelMicrosoft OutlookMicrosoft Word
Enterprise Web • Hardware • Internet of Things • Software
Embed with manufacturing customers to design, build, and deploy Tulip solutions. Lead OT/IT integrations (PLCs, MES/ERP, quality systems), troubleshoot production issues, and deliver scalable, production-ready applications. Advise on architecture, document solutions, and represent customer needs to Product and Engineering.
Top Skills:
Cloud-NativeEmbedded AiErpMachine Data IntegrationsMesNo-Code PlatformPlcsQuality SystemsTulip Frontline Operations Platform
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
As a Finance FP&A Manager, you will lead financial planning processes, ensure compliance, analyze financial performance, and support decision-making within a Finance team, while driving continuous improvement initiatives.
Top Skills:
Data AnalysisFinancial ModelingFinancial PlanningReporting
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
