AI System Developer for Clinical MVP (SimPatient)

University of St Andrews

St Andrews

Hybrid

GBP 32,000 - 38,000

Part time

4 days ago
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Benefits offered by this job

Relocation assistance
USS Pension (14.5%)
Hybrid working
Staff discount
Free staff parking
Carshare program
Cycle to Work
Bus travel subsidy
Sports membership
Tuition benefits
Training opportunities
Library access
Salary sacrifice
34 Days Annual Leave + 5 PH

Job summary

University of St Andrews is seeking an AI System Developer to adapt the existing SimPatient platform for patient-facing deployment, enabling the FCR4 screening tool and activation of the MiniAFTERc intervention when thresholds are exceeded. The role involves building a robust MVP within an in-house codebase and integrating LLM APIs for conversational interactions.

Applicants should have a good first degree in computer science or related fields and experience with AI chat interfaces; knowledge of

Qualifications

  • Good first degree in computer science or a related discipline or equivalent professional experience.
  • Experience with LLMs or conversational AI APIs and working in an existing codebase.

Responsibilities

  • Adapt the SimPatient platform for patient-facing use to administer the FCR4 screening tool and trigger MiniAFTERc intervention.
  • Encode the manualised MiniAFTERc intervention as a conversational flow and revise prompts and scripts during fidelity reviews.
  • Extend safeguarding features for patient-facing risk, including escalation messaging.
  • Configure logging/export of transcripts and scores for pilot analyses; maintain version control, tests and documentation.

Skills

LLM APIs
Conversational AI
Software development

Education

First degree in computer science or related discipline

Tools

Version control
Testing frameworks
Documentation

Job description

University of St Andrews is seeking an AI System Developer to adapt the existing SimPatient platform for patient-facing deployment, enabling the FCR4 screening tool and activation of the MiniAFTERc intervention when thresholds are exceeded. The role involves building a robust MVP within an in-house codebase and integrating LLM APIs for conversational interactions.

Applicants should have a good first degree in computer science or related fields and experience with AI chat interfaces; knowledge of

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