Lead 0-to-1 exploratory bioinformatics projects that combine genomic data, literature retrieval, deterministic methods, and AI to prototype new product capabilities, define evaluation and stop criteria, diagnose failures, and hand off validated evidence packages to Product, Engineering, and Bioinformatics for independent evaluation and potential productionization.
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 opportunity
As Senior Applied AI Bioinformatician, you will discover and prove new genetically enabled capabilities for Sequencing’s products and broader intelligence layer.
Reporting: This role reports to the Senior Director, AI & Emerging Technologies.
This is a hands-on senior individual-contributor role for a genuinely strong bioinformatician who thinks and builds agentically. You will explore new ways to combine genetic data, scientific knowledge, retrieval tools, computational methods, and AI reasoning to create useful capabilities that are not possible today.
Examples could include a new bioinformatics skill, a genomic retrieval or interpretation component, or an evidence-synthesis workflow that expands what Sequencing’s AI products can do.
You will take promising ideas from scientific hypothesis through working prototype. For each proposed bioinformatics capability, you will define the user value, required data, underlying genetic premise, scientific uncertainty, evaluation plan, and evidence needed to advance, narrow, or stop the work. You will partner with Product and Engineering to turn validated ideas into scalable capabilities, while independent scientific evaluation remains a separate release safeguard.
This is a 0-to-1 exploration role, not the ongoing owner of production model quality. Bioinformatics retains ownership of benchmark maintenance, independent scientific evaluation, ongoing quality monitoring, release readiness, and scientific reliability. Your job is to open new possibility space, prove or disprove ideas quickly, and hand off evidence-backed capabilities for independent evaluation and productionization.
What you’ll own
• A portfolio of bounded exploratory projects that test new bioinformatics capabilities for Sequencing’s AI products and broader intelligence layer.
• Scientific hypotheses that connect a meaningful user need to a defensible genetic premise and an achievable computational approach.
• Hands-on prototypes combining genomic data, scientific literature and knowledge, retrieval or query tools, deterministic methods, and model reasoning.
• Explicit uncertainty boundaries, contraindications, data limitations, failure modes, and stop conditions for each proposed capability.
• Diagnosis of failures across source data, bioinformatics processing, retrieval and tool use, model reasoning, and orchestration during exploration and prototyping.
• Evidence packages that allow Product, Engineering, Bioinformatics, and independent evaluators to decide whether a capability should stop, be revised, or advance into independent evaluation.
• Clear handoffs to the AI Platform PM, Engineering, and Bioinformatics when a prototype has enough evidence to enter independent scientific evaluation and potential productionization.
• Ongoing awareness of Sequencing’s bioinformatics systems and capabilities through deep working partnership with the Bioinformatics team.
• Use of evaluation findings, customer questions, scientific developments, and production evidence as inputs to new hypotheses and prototype revisions, without owning the production quality loop.
What you will not own
• Ongoing ownership of production model quality, benchmark datasets, independent scientific evaluation, release readiness, or production scientific reliability. These remain with Bioinformatics and the designated quality owner.
• Independent scientific evaluation or final validation of your own work.
• Production release approval for scientific accuracy or safety.
• General backend-engineering delivery that belongs in the separate AI Bioinformatics Engineering search.
• Broad Bioinformatics organizational leadership or people management.
Who you are
• You have deep professional expertise in bioinformatics, computational genomics, statistical genetics, or a closely related field.
• You can evaluate the genetic premise, evidence quality, uncertainty, and limitations behind a proposed capability.
• You build hands-on with modern AI tools and can show how you have used models, agents, retrieval, tools, structured data, or computational pipelines to investigate or prototype scientific work.
• You understand that using AI is different from building a reliable AI system, and can explain validation, guardrails, failure handling, and human review.
• You can distinguish failures in data availability, bioinformatics processing, retrieval, model reasoning, and orchestration.
• You design reproducible experiments with explicit success criteria, negative controls, uncertainty, and advance or stop evidence.
• You communicate scientific complexity clearly to Product and Engineering without overstating confidence.
• You welcome independent review and can change course when evidence does not support a hypothesis.
• You are energized by 0-to-1 scientific exploration and evidence-backed handoffs, rather than ongoing ownership of production model quality.
• You are based in the United States and comfortable operating as a senior individual contributor in a fast-moving, fully remote environment.
Helpful experience
• Consumer genomics, clinical genomics, variant interpretation, polygenic risk, pharmacogenomics, or genomic knowledge systems.
• Production LLM evaluation, retrieval-augmented generation, agentic systems, or scientific tool use.
• Translating research prototypes into reliable product or platform capabilities.
• Health-product safety, regulated environments, or scientific release governance.
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
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. Where required by applicable law, candidates may request a reasonable accommodation or an alternative selection process by contacting [email protected].
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.
Top Skills:
APIsBilling SystemsPerformance OptimizationSubscription Management
.png)
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
As a Junior Collar Technician, you will manage the collar fleet across farms, ensuring logistics, conducting audits, and maintaining positive farmer relationships while traveling frequently.
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Drive territory growth and customer success for Halter's virtual fencing products across Australian states. Manage full sales cycle from prospecting to close, onboard and support customers, upsell and retain accounts, gather field feedback for product teams, and travel frequently within the assigned territory.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
