Protein Production Scientist, Biologics at Substrate Bio | London, England | Rezi

Protein Production Scientist, Biologics at Substrate Bio

Protein Production Scientist, Biologics

Substrate Bio · London, England

2 weeks ago

Protein Production Scientist, Biologics

Substrate Bio · London, England

20 days ago
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About the Role

Substrate is building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale. This role is central to developing the DNA design, molecular biology, protein expression, purification, and quality control processes that will eventually run autonomously.

Responsibilities

  • Develop DNA design, molecular biology, protein expression, purification, and quality control protocols manually.
  • Establish reproducibility and quality thresholds for protein production workflows.
  • Validate manual assay steps before they are moved to instrumentation.
  • Collaborate with automation engineering and software teams to transition manual protocols to automated execution.
  • Contribute to assay menu decisions and author Standard Operating Procedures (SOPs).
  • Assist in interviewing and onboarding new scientists and lab technicians.
  • Co-design protocols with software and automation engineering teams for automation readiness.
  • Validate equivalence of automated assays against manual baselines.
  • Triage assay failures and contribute to opening the assay menu to customers.
  • Work at the boundary between scientific protocols and autonomous execution.

Requirements

  • Comfortable handling DNA design and linear and plasmid DNA production at high throughput.
  • Experience with protein expression and purification with QC steps for validation.
  • Ability to execute protocols manually, semi-automatically, and through instrumentation.
  • Core experience within biologics.
  • Track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow.
  • Confident data analysis, including distinguishing instrument artefacts from genuine molecule behaviour.
  • Fluency with structured experimental data capture.
  • Proficiency with a LIMS, ELN, or analogous data infrastructure.
  • Ready to grow into protocol authorship and SOP ownership over the first twelve months.
  • Experience moving biophysical or analytical assays from manual workflows onto lab automation platforms.
  • Method development and validation experience: defining acceptance criteria, references, and controls.
  • SOP and protocol authorship that others have executed.
  • Experience supervising at least one junior scientist or technician.
  • Experience working with computational or AI/ML colleagues on closed-loop assay programmes.
  • Background at an AI-native biotech or foundation-model company.

Skills

  • Molecular biology
  • Protein expression
  • Protein purification
  • Quality control
  • Analytical characterisation
  • DNA design
  • Cell-free expression
  • Mammalian expression
  • Automated magnetic-bead workflows
  • Biophysical methods (CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, LC-MS intact mass analysis)
  • Data analysis
  • Structured experimental data capture
  • LIMS
  • ELN
  • Protocol authorship
  • SOP development
  • Lab automation
  • Binding kinetics (SPR or BLI)
  • Orthogonal characterisation assays
  • Developability assays
  • High throughput technology development
  • Method validation

Location

  • London

Work Type

  • In-person
  • Lab-based

Experience Level

  • Scientist
  • Senior Scientist

Education Level

  • PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience
  • MSc in a relevant science with five or more years of equivalent bench experience in protein science

Benefits

  • 30 days of annual leave plus public holidays
  • Pension with a 10% employer contribution
  • Top-tier Bupa private health cover

About the Company

  • Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale.
  • The company addresses the data problem in AI for biology, where high-quality, large-scale experimental data is lacking.
  • Substrate generates data with quality and provenance built in.
  • The company is not a CRO or a cloud lab.
  • Founded by four co-founders and funded through a combination of equity and debt.
  • The first lab is in London, with a larger automation node to follow.
  • The work starts with two scientific verticals: protein characterisation and functional genomics.

Equal Opportunity

  • Substrate is an equal opportunity employer.
  • Hiring decisions are made on merit, scope-fit, and the strength of the working relationship.
  • Applications are welcome from candidates of any background.