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Substrate Bio

Autonomous AI-driven wet labs for biological experimentation

Member of Scientific Staff - Protein Production

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A PhD in biochemistry, protein science, molecular biology or a related field, or a BSc or MSc with two to three years of hands-on lab experience.
  • Molecular biology for expression, including PCR, cloning by Golden Gate or Gibson assembly, and checking constructs by gel, fragment analysis or sequencing.
  • Hands-on recombinant protein expression and purification in at least one of cell-free, E. coli or mammalian systems, using affinity capture such as His, Strep or Protein A.
  • Protein quality control, including quantification, SDS-PAGE or CE-SDS, and critical interpretation of results.
  • Experience working in 96-well or 384-well plate formats and maintaining careful, traceable records.
  • Mammalian cell culture with good aseptic technique, including adherent and suspension lines, thawing, passaging and banking, and transient transfection of HEK293 or CHO cells for expression.

Responsibilities

  • Prepare expression templates from synthetic gene fragments by PCR and by Golden Gate or Gibson assembly, and check the templates before use.
  • Express proteins initially in cell-free systems, with E. coli and mammalian (HEK293) expression as additional systems.
  • Purify proteins by affinity capture, primarily using magnetic beads in plates, and confirm protein identity and quality through quantification, CE-SDS and SEC.
  • Record inputs, lot numbers, conditions, outputs and failures at every step, preserving failed expressions and poor yields as data.
  • Help transition established protocols from the bench to liquid handlers and the automated platform, working with the engineers building it.
  • Support downstream molecular characterisation runs and cell culture for cell-based assays, including routine passage, banking and seeding assay plates.
  • Run core DNA preparation, cell-free expression and purification protocols to a consistent standard.
  • Learn and follow sample tracking from DNA order through purified protein, recording information at each step.
  • Take a full plate of constructs through DNA preparation, expression, purification and quality control with minimal support.
  • Support a step beyond production, such as a downstream characterisation readout, mammalian expression run or routine culture for the cell-based assay panel.
  • Revise a protocol, including how failures are captured.
  • Run production week to week as part of the team, delivering quality-control results others can rely on.
  • Own and routinely execute a downstream characterisation readout, a mammalian expression route or maintenance of cell lines for a cell-based assay.

Desired Qualifications

  • Industry experience in a high-throughput setting is preferred.
  • Protein characterisation experience, including binding kinetics by SPR or BLI, or biophysical assays such as nanoDSF, DLS or analytical SEC.
  • Experience with cell-based assays such as reporter bioassays for binding or blockade, receptor internalisation or cytotoxicity, using imaging or flow cytometry readouts.
  • Experience with liquid handlers, magnetic-bead purification systems or other lab automation.
  • Experience with antibodies, nanobodies or other binder formats.

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.

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