Bioinformatician Jobs

About The Position

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 demonstrate how models, agents, retrieval, tools, structured data, or computational pipelines have been used 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

• 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.

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)