Research Engineer: Lab Brains & Scientific Workflows

The Methodist Church in Britain

City Of London

Hybrid

GBP 60,000 - 100,000

Full time

11 days ago

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Benefits offered by this job

27 days annual leave
Private medical cover
Group life assurance
Employee assistance programme
Enhanced leave pay
Pension with employer contributions
Season ticket loan
Hybrid working

Job summary

UK DRI Research Operations Division seeks a Research Engineer to design and deploy Lab Brains, agents and connected tools for dementia research workflows. You will work with researchers and lab staff to turn recurring problems into reproducible software, linking notes, conversations and experimental records with code and data.

The role emphasizes hands-on software development, guidance on best practices, and delivering tools with clear support ownership.

Qualifications

  • No degree required if equivalent capability demonstrated.
  • Shipping software that others use.
  • Experience building LLM apps or automation, including tool integration, evaluation and debugging.
  • Experience connecting systems and handling authentication, data access, change management and failures.

Responsibilities

  • Develop Lab Brains agents and tools to help labs track history and next actions.
  • Collaborate with researchers and lab staff to turn problems into usable software.
  • Create workflows linking notebooks, Slack, Linear, and Labstep with code,data and docs.
  • Build robust integrations handling permissions, retries and failures with minimal manual records.
  • Implement interfaces and controls showing data provenance and sharing scope.
  • Release tools across labs with documentation and clear ownership.

Skills

Programming ability
Git & GitHub
Automated testing
CI/CD
Documentation

Tools

Labstep integration

Job description

UK DRI Research Operations Division seeks a Research Engineer to design and deploy Lab Brains, agents and connected tools for dementia research workflows. You will work with researchers and lab staff to turn recurring problems into reproducible software, linking notes, conversations and experimental records with code and data.

The role emphasizes hands-on software development, guidance on best practices, and delivering tools with clear support ownership.

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