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# Data Operations Manager, Scientific Data

- **Company:** Axiom
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Spreadsheets, Data Integrity, Experimental Data, Identity and Access Management, Python (Programming Language), DataOps, SQL Databases, Agentic-AI, Data Management, Data Delivery, Data Generation
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_a236bd22f2cb4aa9200c98fe40996c4b

## About the Role

* Exceptional execution and end-to-end ownership. You anticipate blockers, manage competing priorities, and deliver complex programs across multiple teams and external partners.
 * Exacting attention to detail. You catch inconsistencies in samples, identifiers, datasets, schedules, and budgets before they become costly downstream failures.
 * Strong analytical and technical judgment. You use data, spreadsheets, SQL, Python, or other tools to investigate problems and make sound operational decisions.
 * A track record of building scalable processes. You turn recurring problems into clear workflows, automated checks, and systems that improve speed and reliability.
 * The ability to translate nuanced scientific and research requirements into concrete specifications, quality standards, and deliverables.
 * Strong partner management and communication skills. You build trust, set clear expectations, navigate difficult conversations, and keep customers, researchers, and vendors aligned under pressure.
 * Comfort with ambiguity and changing priorities, supported by experience in operations, program management, consulting, or similarly demanding roles.
 * Curiosity about biology, chemistry, drug discovery, and AI, with an interest in how high-quality experimental data improves models and scientific agents.
 * A habit of using AI tools and automation to improve your own work, with the judgment to verify outputs and maintain accountability.

## Description

* Own operational delivery of Axiom's scientific data programs, translating research and customer requirements into clear plans, milestones, quality standards, budgets, and deliverables.
 * Coordinate data generation across internal teams and partner laboratories, managing capacity, dependencies, timelines, and handoffs from experimental planning through validated data delivery.
 * Manage compound sourcing, purchasing, sample manifests, inventory, international shipping, and customs documentation so laboratories have the right materials when they need them.
 * Build and manage laboratory and supplier partnerships, establishing clear specifications, delivery commitments, acceptance criteria, and processes for resolving failures.
 * Protect data integrity by reconciling compound identities, barcodes, sample histories, experimental metadata, and incoming results, working with scientists and data engineers to resolve discrepancies before downstream use.
 * Build scalable operating systems using trackers, dashboards, SOPs, alerts, and AI agents to automate coordination, surface risks early, and reduce manual follow-up.
 * Keep pharmaceutical customers, AI research partners, laboratories, and internal teams aligned through clear communication, timely escalation, and reliable delivery.
 * Manage SOWs, purchase orders, invoices, and project budgets, tracking spending against progress and identifying opportunities to improve cost and turnaround.
 * Measure and improve throughput, delivery reliability, and data quality, ensuring each program strengthens the operations behind Axiom's drug discovery, Translate, and AI training workflows., * Data management and analysis using spreadsheets, SQL, Python, dashboards, and automated reconciliation and validation tools.
 * Program planning, dependency tracking, capacity planning, risk management, and quantitative process improvement.
 * Workflow automation and AI agents for tracking deliverables, reconciling records, coordinating handoffs, and surfacing exceptions.
 * Vendor and commercial operations, including SOWs, purchase orders, invoices, budgets, and performance tracking.
 * Compound procurement, supplier coordination, inventory management, international shipping, and customs documentation.
 * Scientific operations, including experiment scheduling, sample tracking, compound identity management, and laboratory data delivery.
 * Clear SOPs, documentation, acceptance criteria, and escalation processes that keep internal teams and external partners aligned.
 * Prior biotech or laboratory experience is helpful but not required.