Scientific Data Operations Lead

Axiom Bio

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

15 hours ago
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Job summary

Axiom Bio is seeking a seasoned operations professional to own the delivery of scientific data programs, coordinating across internal teams and partner labs to ensure high-quality data generation and timely delivery.

You will manage compound sourcing, inventory, shipping, and documentation while building scalable processes and automated checks to support AI model training and drug discovery workflows.

Qualifications

  • Exceptional execution and end-to-end ownership in multi-team programs.
  • Exacting attention to detail to catch inconsistencies across samples and datasets.
  • Strong analytical and technical judgment using data tools to drive decisions.
  • Ability to translate nuanced scientific requirements into concrete specs and deliverables.
  • Proven track record building scalable processes and automated workflows.

Responsibilities

  • Own operational delivery of data programs, translating research needs into plans, milestones, budgets and deliverables.
  • Coordinate data generation across teams and labs, managing capacity, timelines and handoffs.
  • Manage sourcing, inventory, shipping, and customs docs to ensure materials readiness.
  • Build partnerships with labs and suppliers, defining specs and acceptance criteria.
  • Reconcile data integrity, resolve discrepancies with scientists and data engineers.
  • Develop scalable operating systems with trackers, SOPs, and alerts to automate coordination.

Skills

Ownership
Attention to detail
Analytical judgment
Scientific/tech translation
Partner management

Tools

SQL
Python
Spreadsheets
Dashboards
AI tools

Job description

Axiom Bio is seeking a seasoned operations professional to own the delivery of scientific data programs, coordinating across internal teams and partner labs to ensure high-quality data generation and timely delivery.

You will manage compound sourcing, inventory, shipping, and documentation while building scalable processes and automated checks to support AI model training and drug discovery workflows.

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