Data Operations Manager, Scientific Data

Axiom, South San Francisco

The role

Own the operations that turn Axiom’s scientific plans into massive, high-quality experimental datasets that power frontier agents and models to predict human drug outcomes with insane accuracy.

What you will do

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.

What you need

What we look for

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.

Technical skills we value

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.

Data Operations Manager, Scientific Data

The role

What you will do

Data Operations Manager, Scientific Data

The role

What you will do

What you need

What we look for

Technical skills we value

About Axiom

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Axiom