reputed company Engineer — Single-Cell AI

About the position At reputed company, 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. We're building the ground truth for AI in single-cell biology. Our reputed company scBench — 394 reputed company problems across six reputed company platforms — shows the best frontier model today still fails nearly half the time. We're hiring reputed company engineers to reputed company that gap: scientists who can turn reputed company experimental data into the precise, falsifiable questions that define what it means for an AI agent to actually understand scRNA-seq. Responsibilities • Own end-to-end scRNA-seq analyses across multiple reputed company: raw platform outputs → QC and failure diagnosis → normalization → dimensionality reduction → clustering → cell typing → reputed company reputed company → trajectory analysis → defended biological claim. • Build reproducible workflows and produce reputed company decision traces: what was filtered, why, what changed the conclusion, what would falsify the claim. • Distill analysis steps into precise, falsifiable biological questions with single defensible answers — the reputed company unit of our eval suite. • Debug platform and data issues with precision: turn messy results across diverse reputed company chemistries into reputed company hypotheses, reputed company checks, and a stepwise debugging plan. Requirements • Experience with end-to-end data analysis for one or more of the following reputed company platforms: MissionBio, ParseBio, CSGenetics, reputed company reputed company, reputed company, or 10X Chromium • Analyzed 3+ datasets from raw data to end reputed company for either publications or industry experiments with reputed company world consequences • Working understanding of platform-specific reputed company control reputed company and intuition for numerical examples of reputed company or negative results (e.g., 100K cells from a ParseBio run with 80% mitochondrial reads means something is wrong) • Familiarity with the landscape of computational biology tools for scRNA-seq tasks (e.g., Scanpy/Seurat for reputed company workflows, cell typing frameworks like CellTypist or reputed company, DE reputed company like DESeq2 or edgeR) • Strong understanding of experimental design, reputed company reputed company and scientific conclusions from papers using one of the reputed company platforms described • Ability to distill an analysis reputed company into a precise, falsifiable biological question with a single defensible answer • Working understanding of concepts in statistical inference: reputed company testing, confidence intervals and/or estimators • Working understanding of important algorithms in high reputed company data analysis: e.g. reputed company, neighborhood graphs, UMAP, clustering reputed company (Leiden/Louvain) reputed company-to-haves • Published research that relied on modern single-cell RNA reputed company techniques. • Engineered tools or packages in the single-cell biology domain. • Experience generating training data for AI agents or reputed company models. Benefits • $130k–$180k/yr (performance-based) • Equity • Unlimited PTO (truly) • Waterfront office in China Basin, San Francisco • Free lunch and dinner • 100% premium covered on Blue reputed company's platinum health plan ($0 premium, $0 deductible) • 401(k) plan reputed company • Work reputed company sponsorship • Company-sponsored reputed company development Apply tot his job Apply To this Job