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Axiom Bio

AI-driven hepatotoxicity prediction for drugs

Lab Manager - Robotics & Scientific Operations

Biology & BiotechConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Exceptional laboratory operations experience, with a track record of keeping complex labs productive, organized, and reliable as they scale.
  • Experience supporting high-throughput workflows, laboratory automation, or integrated robotic systems.
  • Familiarity with cell culture and the operational demands of primary human cells, organoids, or other advanced biological systems.
  • Strong planning and quantitative skills, including forecasting demand, coordinating shared resources, managing budgets, and using operational data to improve throughput and uptime.
  • Hands-on resourcefulness with instruments and facilities, including troubleshooting problems and coordinating vendors, service engineers, and EH&S specialists.
  • Experience or capability in procurement, inventory management, demand forecasting, vendor coordination, budgeting, laboratory setup, liquid handlers, robotic arms, automated incubators, plate logistics, integrated workcells, aseptic technique, cryogenic storage, contamination prevention, equipment commissioning, preventive maintenance, calibration, troubleshooting, service management, high-throughput screening, high-content imaging, cell-based assays, LC-MS sample preparation, LIMS, electronic lab notebooks, barcode systems, compound and reagent tracking, experimental metadata, SOP development, training, assay qualification support, deviation tracking, root-cause analysis, corrective actions, biosafety, chemical hygiene, hazardous waste, cold-chain monitoring, laboratory utilities, EH&S coordination, dashboards, advanced spreadsheets, workflow automation, and AI tools.

Responsibilities

  • Build and run Axiom’s laboratory operations, enabling scientists and robotics engineers to generate massive, exceptionally high-quality datasets for AI models that predict human drug outcomes.
  • Help bring the new lab online by coordinating equipment installation, utilities, vendor services, commissioning, and operational readiness across cell culture, imaging, automation, and mass spectrometry.
  • Own procurement, inventory, and supply planning for cells, compounds, reagents, labware, and consumables, anticipating demand and preventing shortages from interrupting experiments.
  • Keep instruments and robotic workcells running reliably through preventive maintenance, calibration, service contracts, spare parts, and rapid coordination of repairs.
  • Coordinate experiment schedules, instrument capacity, staffing, and material preparation to support continuous, high-throughput operations alongside new assay development.
  • Establish rigorous systems for receiving, storing, tracking, and handling primary human cells, advanced cell systems, and sensitive reagents, with complete traceability across donors, lots, plates, and experiments.
  • Own day-to-day laboratory safety and facilities coordination, working with EH&S specialists on permitting, biosafety, chemical handling, waste disposal, and emergency preparedness.
  • Partner with software and automation engineers to build inventory systems, barcode tracking, environmental monitoring, dashboards, and agent-assisted workflows that reduce manual coordination and catch problems early.
  • Track uptime, throughput, turnaround time, cost, and operational failures; investigate recurring problems and improve the systems that let the lab scale without sacrificing experimental quality.
  • Build practical systems, standard operating procedures, and training programs that make complex work reproducible and easy for others to execute.

Desired Qualifications

  • Python or SQL experience is a plus.

About the Company

Axiom Bio

AI-driven hepatotoxicity prediction for drugs

Axiom Bio provides an AI-driven platform for predictive toxicology that helps drug researchers identify potential liver toxicity early in development. The platform uses a large proprietary dataset—over 115,000 small molecules screened on primary human liver cells with imaging and biochemical readouts, plus PK and clinical data—to predict drug-induced liver injury and related toxicity pathways from a molecule’s structure. It differentiates itself through its large human-toxicity dataset and by offering mechanistic insights (such as mitochondrial toxicity, ER stress, and ROS) at a low per-molecule cost. The goal is to speed up safe drug development by de-risking preclinical pipelines and reducing reliance on animal testing.

Company size
11-50
Company stage
Seed
Total funding
$15M
Headquarters
San Francisco, CA
Founded
2024

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