Senior Applied AI Bioinformatician

SequencingIowa, DE
Remote

About The Position

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.

Requirements

  • Deep professional expertise in bioinformatics, computational genomics, statistical genetics, or a closely related field.
  • Ability to evaluate the genetic premise, evidence quality, uncertainty, and limitations behind a proposed capability.
  • Ability to build hands-on with modern AI tools and show how you have used models, agents, retrieval, tools, structured data, or computational pipelines to investigate or prototype scientific work.
  • Understanding that using AI is different from building a reliable AI system, and ability to explain validation, guardrails, failure handling, and human review.
  • Ability to distinguish failures in data availability, bioinformatics processing, retrieval, model reasoning, and orchestration.
  • Ability to design reproducible experiments with explicit success criteria, negative controls, uncertainty, and advance or stop evidence.
  • Ability to communicate scientific complexity clearly to Product and Engineering without overstating confidence.
  • Willingness to welcome independent review and change course when evidence does not support a hypothesis.
  • Energized by 0-to-1 scientific exploration and evidence-backed handoffs, rather than ongoing ownership of production model quality.
  • Based in the United States and comfortable operating as a senior individual contributor in a fast-moving, fully remote environment.

Nice To Haves

  • 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.

Responsibilities

  • Discover and prove new genetically enabled capabilities for Sequencing’s products and broader intelligence layer.
  • 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.
  • Take promising ideas from scientific hypothesis through working prototype.
  • Define the user value, required data, underlying genetic premise, scientific uncertainty, evaluation plan, and evidence needed to advance, narrow, or stop the work for each proposed bioinformatics capability.
  • Partner with Product and Engineering to turn validated ideas into scalable capabilities, while independent scientific evaluation remains a separate release safeguard.
  • Open new possibility space, prove or disprove ideas quickly, and hand off evidence-backed capabilities for independent evaluation and productionization.
  • Own a portfolio of bounded exploratory projects that test new bioinformatics capabilities for Sequencing’s AI products and broader intelligence layer.
  • Develop scientific hypotheses that connect a meaningful user need to a defensible genetic premise and an achievable computational approach.
  • Build hands-on prototypes combining genomic data, scientific literature and knowledge, retrieval or query tools, deterministic methods, and model reasoning.
  • Define explicit uncertainty boundaries, contraindications, data limitations, failure modes, and stop conditions for each proposed capability.
  • Diagnose failures across source data, bioinformatics processing, retrieval and tool use, model reasoning, and orchestration during exploration and prototyping.
  • Create evidence packages that allow Product, Engineering, Bioinformatics, and independent evaluators to decide whether a capability should stop, be revised, or advance into independent evaluation.
  • Ensure clear handoffs to the AI Platform PM, Engineering, and Bioinformatics when a prototype has enough evidence to enter independent scientific evaluation and potential productionization.
  • Maintain ongoing awareness of Sequencing’s bioinformatics systems and capabilities through deep working partnership with the Bioinformatics team.
  • Use evaluation findings, customer questions, scientific developments, and production evidence as inputs to new hypotheses and prototype revisions, without owning the production quality loop.

Benefits

  • 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)
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