S

Substrate Bio

Autonomous AI-driven wet labs for biological experimentation

Inventory Specialist - Infrastructure

Inventory ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Practical experience in inventory, purchasing, goods receipt, logistics, or laboratory operations.
  • Careful record-keeping and an organised approach to checking deliveries, prioritising work, and following actions through.
  • Confidence with digital tools and willingness to learn to use AI, check its outputs, and improve recurring workflows; prior AI expertise is not required.
  • Clear communication with suppliers and colleagues, including explaining an operational problem to a software developer.

Responsibilities

  • Manage day-to-day consumables purchasing, receive deliveries, and keep stock records accurate, with training and guidance from a manager and laboratory colleagues.
  • Organise work independently as experience develops and follow issues through to resolution.
  • Work with laboratory teams to understand demand, place orders within agreed budgets and approvals, and chase delays before they disrupt work.
  • Maintain supplier prices and lead times, flag supply risks, and obtain laboratory approval for proposed substitutions.
  • Check received orders against deliveries for quantities, condition, and relevant batch, expiry, and temperature requirements; record receipts promptly, route goods to appropriate storage, and resolve discrepancies.
  • Set up storage areas, organise stock into defined bin locations, and label and barcode locations to match inventory records.
  • Record stock movements and investigate differences found during stock counts.
  • With guidance, propose reorder points and buffer stock using consumption, lead times, and planned activity.
  • Track expiry dates, prioritise earliest-expiring stock where appropriate, and 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 and maintain reliable receipt records for laboratory and finance colleagues.
  • Work directly with software engineers to explain operational needs, provide ideas from laboratory work, and test new features against real tasks; contribute input while the manager and software team lead priorities, design, and development.
  • Learn to use AI-assisted workflows for tasks such as reviewing inventory data and preparing routine updates, then help refine those workflows.
  • Learn consumables, storage requirements, and approval processes; take on routine ordering and goods receipt with support.
  • Check stock records against physical inventory and map the journey from purchase request to use; agree a practical storage layout and bin-location scheme with laboratory colleagues.
  • Run routine ordering, receipts, and stock counts independently within agreed processes; inform colleagues about shortages, overdue orders, and expiring stock.
  • Set up and organise agreed storage areas, label and barcode bin locations, link them to inventory records, propose replenishment settings with the manager and laboratory colleagues, and document how stock is stored and moved.
  • Turn recurring problems into examples for the software team.
  • Check that colleagues can find, receive, and return stock using labelled and barcoded locations; resolve layout or record gaps and refine replenishment to reduce avoidable shortages and waste.
  • Test available inventory features against everyday tasks, help colleagues adopt improvements, and—with support—try an AI-assisted workflow for a routine task, check its outputs, and suggest improvements.

Desired Qualifications

  • Experience with laboratory consumables or expiry-sensitive and temperature-controlled stock.
  • Familiarity with inventory or enterprise resource planning systems, barcode-based stock control, or testing new software.

About the Company

Substrate Bio

Autonomous AI-driven wet labs for biological experimentation

Substrate Bio operates AI-native data-production infrastructure for biology, connecting computational models with real-world experimentation. The company runs a network of autonomous, robotics-powered wet labs, starting in London with a second planned for San Francisco, running standardized experiments with full provenance, metadata, and quality control. Researchers access the labs via API, submitting experiment parameters and receiving structured data and metadata, while foundation models help design assay selections, cell systems, and gene panels. What sets Substrate Bio apart is its closed feedback loop, where better data improves its models and better models design better experiments. The goal is to make biological experimentation as programmable and scalable as computation itself.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at Substrate Bio

See more jobs