AI System Developer – Medical Simulation MVP (Hybrid)

University of St Andrews

St Andrews

Hybrid

GBP 32,000 - 38,000

Part time

3 days ago
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Benefits offered by this job

Relocation assistance
USS Pension (14.5%)
Hybrid working
Staff discount
Staff parking
Carshare
Cycle to Work
Bus travel subsidy
Sports membership
Tuition reductions
LinkedIn Learning
Library access
Salary sacrifice
34 days annual leave + 5 holidays

Job summary

The University of St Andrews, School of Medicine, invites applications for an AI System Developer on a part-time, fixed-term basis. The role targets 7.25 hours per week for four months, with a salary of £32,080–£37,694 pro rata. The post supports a hybrid working environment, relocation assistance, and a range of staff benefits.

Start in October 2026 or as soon as possible. The successful candidate will adapt the in-house SimPatient platform, enabling FCR4 screening and scripted interventions,

Qualifications

  • Good first degree in computer science, software engineering, data science or related discipline.
  • Comfortable working within an existing codebase and with LLM or conversational-AI APIs.
  • Experience in digital health or safeguarding features in conversational systems is desirable.

Responsibilities

  • Adapt the SimPatient platform to a minimum viable product for patient-facing use.
  • Encode the MiniAFTERc intervention as a conversational flow and refine prompts.
  • Extend safeguarding behaviour for patient-facing risk and escalation messaging.
  • Configure transcript and score logging, with version control, tests and documentation.

Skills

Software development
LLM integration
Data processing

Education

Science/Engineering degree

Tools

LLM APIs
Codebase familiarity

Job description

The University of St Andrews, School of Medicine, invites applications for an AI System Developer on a part-time, fixed-term basis. The role targets 7.25 hours per week for four months, with a salary of £32,080–£37,694 pro rata. The post supports a hybrid working environment, relocation assistance, and a range of staff benefits.

Start in October 2026 or as soon as possible. The successful candidate will adapt the in-house SimPatient platform, enabling FCR4 screening and scripted interventions,

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