{"schemaVersion":"jobsearcher.job.v1","id":"07673d03fba6cafc58edfac9","url":"https://jobsearcher.com/jobs/07673d03fba6cafc58edfac9","canonicalUrl":"https://jobsearcher.com/jobs/07673d03fba6cafc58edfac9","title":"Bioinformatics Engineer Single-Cell AI","description":"Bioinformatics Engineer — Single-Cell AI\nAt LatchBio, our AI agents help thousands of scientists analyze and interpret data across the full stack of modern multi-omic technologies — starting with single-cell and spatial, and expanding fast.\n\nWe're building the ground truth for AI in single-cell biology. Our benchmark scBench — 394 verifiable problems across six sequencing platforms — shows the best frontier model today still fails nearly half the time. We're hiring bioinformatics engineers to close that gap: scientists who can turn real experimental data into the precise, falsifiable questions that define what it means for an AI agent to actually understand scRNA-seq.\n\nWhat you'll do\n\nOwn end-to-end scRNA-seq analyses across multiple projects: raw platform outputs → QC and failure diagnosis → normalization → dimensionality reduction → clustering → cell typing → differential expression → trajectory analysis → defended biological claim.\n\nBuild reproducible workflows and produce clear decision traces: what was filtered, why, what changed the conclusion, what would falsify the claim.\n\nDistill analysis steps into precise, falsifiable biological questions with single defensible answers — the core unit of our eval suite.\n\nDebug platform and data issues with precision: turn messy results across diverse sequencing chemistries into crisp hypotheses, sanity checks, and a stepwise debugging plan.\n\nRequirements (must-have)\n\nExperience with end-to-end data analysis for one or more of the following sequencing platforms: MissionBio, ParseBio, CSGenetics, BD Rhapsody, Illumina, or 10X Chromium\n\nAnalyzed 3+ datasets from raw data to end insight for either publications or industry experiments with real world consequences\n\nWorking understanding of platform-specific quality control thresholds and intuition for numerical examples of positive or negative results (e.g., 100K cells from a ParseBio run with 80% mitochondrial reads means something is wrong)\n\nFamiliarity with the landscape of computational biology tools for scRNA-seq tasks (e.g., Scanpy/Seurat, CellTypist, DESeq2)\n\nStrong understanding of experimental design and hypothesis generation — can read a paper, extract the key biological result, and formalize it as a precise, falsifiable question\n\nWorking understanding of statistical inference and high-dimensional data analysis: hypothesis testing, PCA, neighborhood graphs, UMAP, clustering (Leiden/Louvain)\n\nDesired experience (nice-to-have)\n\nPublished research that relied on modern single-cell RNA sequencing techniques.\n\nEngineered tools or packages in the single-cell biology domain.\n\nExperience generating training data for AI agents or foundation models.\n\nIdeal candidate\nYou are a scientifically fluent engineer who has run real scRNA-seq pipelines and knows where they break. You can look at a clustering result and form a biological opinion about it — not just report what the algorithm returned. You're comfortable being wrong, updating beliefs with evidence, and writing down decisions so others can reproduce and critique your work. You think in falsifiable questions and know the difference between a result that's numerically correct and one that's biologically meaningful.\n\nCompensation & benefits\n\n$130k–$180k/yr (performance-based)\n\nEquity\n\nUnlimited PTO (truly)\n\nWaterfront office in China Basin, San Francisco\n\nFree lunch and dinner\n\n100% premium covered on Blue Shield's platinum health plan ($0 premium, $0 deductible)\n\n401(k) plan options\n\nWork visa sponsorship\n\nCompany-sponsored professional development\n\nFull-time preferred, part-time available.\nIn-person in San Francisco preferred, remote options available.\n\n#J-18808-Ljbffr","company":"Latchbio","rawCompany":"latchbio","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-16T09:47:07.434Z","occupations":[{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-2099.01","title":"Bioinformatics Technicians","slug":"bioinformatics-technicians"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Bioinformatics Engineer Single-Cell AI","description":"Bioinformatics Engineer — Single-Cell AI\nAt LatchBio, our AI agents help thousands of scientists analyze and interpret data across the full stack of modern multi-omic technologies — starting with single-cell and spatial, and expanding fast.\n\nWe're building the ground truth for AI in single-cell biology. Our benchmark scBench — 394 verifiable problems across six sequencing platforms — shows the best frontier model today still fails nearly half the time. We're hiring bioinformatics engineers to close that gap: scientists who can turn real experimental data into the precise, falsifiable questions that define what it means for an AI agent to actually understand scRNA-seq.\n\nWhat you'll do\n\nOwn end-to-end scRNA-seq analyses across multiple projects: raw platform outputs → QC and failure diagnosis → normalization → dimensionality reduction → clustering → cell typing → differential expression → trajectory analysis → defended biological claim.\n\nBuild reproducible workflows and produce clear decision traces: what was filtered, why, what changed the conclusion, what would falsify the claim.\n\nDistill analysis steps into precise, falsifiable biological questions with single defensible answers — the core unit of our eval suite.\n\nDebug platform and data issues with precision: turn messy results across diverse sequencing chemistries into crisp hypotheses, sanity checks, and a stepwise debugging plan.\n\nRequirements (must-have)\n\nExperience with end-to-end data analysis for one or more of the following sequencing platforms: MissionBio, ParseBio, CSGenetics, BD Rhapsody, Illumina, or 10X Chromium\n\nAnalyzed 3+ datasets from raw data to end insight for either publications or industry experiments with real world consequences\n\nWorking understanding of platform-specific quality control thresholds and intuition for numerical examples of positive or negative results (e.g., 100K cells from a ParseBio run with 80% mitochondrial reads means something is wrong)\n\nFamiliarity with the landscape of computational biology tools for scRNA-seq tasks (e.g., Scanpy/Seurat, CellTypist, DESeq2)\n\nStrong understanding of experimental design and hypothesis generation — can read a paper, extract the key biological result, and formalize it as a precise, falsifiable question\n\nWorking understanding of statistical inference and high-dimensional data analysis: hypothesis testing, PCA, neighborhood graphs, UMAP, clustering (Leiden/Louvain)\n\nDesired experience (nice-to-have)\n\nPublished research that relied on modern single-cell RNA sequencing techniques.\n\nEngineered tools or packages in the single-cell biology domain.\n\nExperience generating training data for AI agents or foundation models.\n\nIdeal candidate\nYou are a scientifically fluent engineer who has run real scRNA-seq pipelines and knows where they break. You can look at a clustering result and form a biological opinion about it — not just report what the algorithm returned. You're comfortable being wrong, updating beliefs with evidence, and writing down decisions so others can reproduce and critique your work. You think in falsifiable questions and know the difference between a result that's numerically correct and one that's biologically meaningful.\n\nCompensation & benefits\n\n$130k–$180k/yr (performance-based)\n\nEquity\n\nUnlimited PTO (truly)\n\nWaterfront office in China Basin, San Francisco\n\nFree lunch and dinner\n\n100% premium covered on Blue Shield's platinum health plan ($0 premium, $0 deductible)\n\n401(k) plan options\n\nWork visa sponsorship\n\nCompany-sponsored professional development\n\nFull-time preferred, part-time available.\nIn-person in San Francisco preferred, remote options available.\n\n#J-18808-Ljbffr","datePosted":"2026-04-16T09:47:07.434Z","dateModified":"2026-04-16T09:47:07.434Z","hiringOrganization":{"@type":"Organization","name":"Latchbio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07673d03fba6cafc58edfac9"},"url":"https://jobsearcher.com/jobs/07673d03fba6cafc58edfac9"}}