AI-First LIMS Solution Architect (Remote)

Clinisys; Woking; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Clinisys is seeking a Solution Architect to design, configure and deploy LIMS solutions across the UK and Ireland. You will act as a trusted advisor, optimise laboratory workflows and support customers through design, testing and go-live.

You will lead implementations, collaborate with customer teams and drive standardisation while exploring AI opportunities to enhance automation and data quality.

Qualifications

• Experience delivering healthcare IT, LIMS or laboratory software solutions.
• Strong understanding of pathology laboratory workflows and healthcare regulations.
• Customer-facing consulting and stakeholder management experience.
• Experience with healthcare integrations and messaging standards (HL7, FHIR).
• Knowledge of cloud and hybrid environments, including Azure.
• Strong problem-solving, solution design and technical troubleshooting skills.
• Ability to communicate complex concepts to both technical and non-technical audiences.
• UK or Ireland healthcare sector experience preferred.

Responsibilities

• Lead the design and deployment of Clinisys LIMS solutions within pathology and laboratory environments.
• Analyse customer workflows and translate requirements into scalable, best-practice solutions.
• Act as the technical lead throughout implementation, validation and transition to support.
• Collaborate with customers, project teams and partners to ensure successful delivery.
• Drive standardisation, quality and continuous improvement across deployments.
• Identify opportunities to apply AI to improve automation, efficiency, data quality and decision support.

Skills

Healthcare IT

LIMS deployment

Stakeholder management

HL7/FHIR

Azure / Cloud

Solution design

Job description

Clinisys is seeking a Solution Architect to design, configure and deploy LIMS solutions across the UK and Ireland. You will act as a trusted advisor, optimise laboratory workflows and support customers through design, testing and go-live.

You will lead implementations, collaborate with customer teams and drive standardisation while exploring AI opportunities to enhance automation and data quality.