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About the Role

This is a hands-on, early-career role within our Infrastructure team. You'll manage day-to-day consumables purchasing, receive deliveries, and keep stock records accurate, with training and guidance. You'll organize your day independently, place orders, track lead times, and resolve discrepancies. You'll also work with software engineers to shape inventory tools and learn to use AI-assisted workflows.

Responsibilities

Manage day-to-day consumables purchasing.
Receive deliveries and keep stock records accurate.
Organize your day independently and follow issues through to resolution.
Work with laboratory teams to understand demand and place orders within agreed budgets.
Chase delays before they disrupt work.
Maintain supplier prices and lead times.
Flag supply risks and get laboratory approval for substitutions.
Check orders against deliveries, including quantities, condition, batch, expiry, and temperature requirements.
Record receipts promptly, route goods to the right storage, and resolve discrepancies.
Physically set up storage areas, organize stock into defined bin locations, and label and barcode locations.
Record stock movements and investigate differences found during stock counts.
Propose reorder points and buffer stock using consumption, lead times, and planned activity.
Track expiry dates and prioritize earliest-expiring stock.
Maintain consistent item codes, units, and pack conversions.
Document procedures, follow safety and quality requirements, and segregate items awaiting review.
Provide regular updates on supply risks and stock accuracy.
Work directly with software engineers to shape inventory tools.
Bring ideas from the lab, explain what needs to work differently, and test new features.
Learn to use AI-assisted workflows for tasks such as reviewing inventory data and preparing routine updates.
Refine AI workflows as you find better ways to work.

Requirements

Practical experience of inventory, purchasing, goods receipt, logistics, or laboratory operations.
Careful record-keeping and an organized approach to checking deliveries, prioritizing work, and following actions through.
Confidence with digital tools.
Willingness to learn to use AI, check its outputs, and improve recurring workflows over time.
Clear communication with suppliers and colleagues.
Ability to explain an operational problem to a software developer.
Willingness to help beyond a fixed task list as the team grows.
Ability to use judgment about when to escalate issues.

Skills

Inventory management
Purchasing
Goods receipt
Logistics
Laboratory operations
Record-keeping
Digital tools
AI
Communication
Problem-solving
Organization
Attention to detail

Location

King's Cross, London

Work Type

On-site
Full-time

Experience Level

Early-career

Education Level

Scientific degree and coding experience are not required.

Benefits

30 days of annual leave plus public holidays
Pension with a 10% employer contribution after a three-month deferment
Bupa private health cover

About the Company

We are a stealth startup in AI and bio, building infrastructure for data generation.
AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one.
We're in stealth and heads-down on execution.

Equal Opportunity

We are an equal opportunity employer.
We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire.
Applications welcome from candidates of any background.