Jobs at Clinisys

Lead regional product strategy and roadmap for Clinical Lab and Blood Transfusion Management across Europe (excl. UKI). Drive AI‑first, data‑led product decisions, voice-of-customer discovery, backlog prioritization, go-to-market alignment, and KPI-driven growth while ensuring clinical safety, regulatory compliance, and cross-functional delivery.

Support product management in defining requirements, coordinating development, conducting market and user research, collaborating on UX, monitoring product metrics, ensuring regulatory compliance (HIPAA/FDA), and creating product documentation. Work closely with engineering, design, QA, clinical experts, and stakeholders to launch and optimize healthcare technology products with AI-enabled capabilities.

Administer and develop Oracle database environments across development, testing, and production. Responsibilities include installation, configuration, patching, performance tuning, security, backup and recovery, migrations, incident resolution, PL/SQL development, deployment scripting, and production support. The role requires expertise with Oracle RAC, Grid Infrastructure, ASM, RMAN, Data Pump, SQL optimization, and highly available mission-critical systems while collaborating with development, QA, infrastructure, support, and product teams.

Executes structured enterprise software configuration tasks, interprets work instructions, maintains reusable catalogue artefacts, documents and version-controls outputs, follows governance and escalation processes, and supports continuous improvement. The role uses AI-assisted tools and automation to improve repetitive configuration work, collaborates with global teams, and focuses on accuracy, standardization, service levels, and audit traceability without direct client interaction.

Designs and leads production AI, GenAI, LLM, RAG, and agentic solutions integrated with LIMS/LIS platforms. Architects secure Azure-based systems, data pipelines, APIs, and model lifecycle operations in regulated healthcare and laboratory environments. Partners with product, engineering, UX, data science, and clinical teams to deliver automation and explainable AI capabilities. Provides technical leadership, mentoring, architecture standards, proof-of-concept development, and cross-team guidance.

Develops, tests, deploys, and supports enterprise software across multiple application subsystems. Responsibilities include architecture, coding, defect analysis, technical documentation, code and design reviews, quality compliance, modernization, deployment standardization, and mentoring. The role requires expertise in .NET, C#, JavaScript, databases, web technologies, APIs, microservices, containers, Kubernetes, CI/CD, and agentic AI tools, with experience building scalable healthcare or scientific software preferred.

Designs, maintains, and executes manual and automated tests across web, desktop, API, and database applications. Develops TypeScript and .NET automation, validates SQL Server and Oracle data, integrates tests into Azure DevOps CI/CD pipelines, analyzes defects, and supports risk-based testing. The role collaborates across Agile teams, applies healthcare and scientific domain knowledge, documents requirements traceability, and coaches less experienced analysts. Familiarity with AI-driven testing, UiPath, healthcare workflows, HIPAA, and performance testing is beneficial.

Leads strategic enterprise accounts, driving software adoption, expansion, retention, and value realization. Develops multi-year growth and transformation roadmaps, manages executive relationships, establishes governance, and orchestrates cross-functional teams across sales, product, engineering, services, and support. Uses AI-enabled analysis and workflows to improve planning, risk management, forecasting, communication, and customer outcomes.

Owns product strategy, market growth, roadmap planning, pricing, packaging, and go-to-market execution for Life Sciences laboratory software. Leads market research, customer discovery, business-case development, SaaS delivery, AI-enabled product initiatives, and cross-functional alignment with Engineering, Sales, Marketing, and Finance. Requires expertise in regulated laboratory environments, LIMS, GxP/GMP practices, FDA frameworks, QMS processes, and pharmaceutical or biotech workflows.

Own the end-to-end contracting lifecycle for strategic suppliers and third parties. Draft, review, negotiate, and execute complex technology, SaaS, cloud, data, professional services, and channel partner agreements. Manage contract workflows and records in Pramata CLM, develop templates and playbooks, address privacy and security requirements, monitor obligations and renewals, and provide risk-based recommendations. Partner cross-functionally with Procurement, Finance, IT, QARA, Product, and business leaders across global jurisdictions.

Supports global regulatory affairs for healthcare software, diagnostics, medical devices, and life sciences products. Prepares submissions and registrations, assesses product changes, monitors international regulations, maintains technical and compliance documentation, supports audits and agency inquiries, and contributes to post-market, CAPA, risk management, and lifecycle activities. Collaborates with product, quality, clinical safety, engineering, legal, and customer teams while using AI-enabled tools for regulatory intelligence and process improvement.

Leads scientific client support teams, overseeing managers, service quality, resolution performance, metrics, backlog trends, resource allocation, and continuous improvement. Builds cross-functional partnerships, influences product and regional strategy, manages talent development, and provides project oversight. The role requires rotational 24/7 on-call availability and occasional client-site travel.

Design end-to-end user experiences for complex healthcare software, including workflows, information architecture, wireframes, prototypes, user journeys, and interaction specifications. Collaborate with Product Management, Engineering, Architecture, and research teams throughout the software lifecycle. Conduct or support user research and usability testing, apply design systems and accessibility standards, advocate for user-centered decisions, and improve UX processes. Use AI-enabled tools to enhance design workflows and product experiences.

Analyzes laboratory software requirements, documents features and user stories, manages backlog prioritization, supports roadmap and release planning, and coordinates engineering, UX, customers, partners, sales, and regulatory teams. Serves as a subject matter expert for environmental, toxicology, and public health laboratories while applying responsible AI practices, benchmarking products, tracking compliance, supporting bids, and leading cross-functional delivery efforts.

Designs, configures, and deploys Clinisys LIMS solutions for healthcare and laboratory customers across the UK and Ireland. Leads workflow analysis, solution design, implementation, validation, testing, go-live, integrations, and transition to support. Serves as a technical advisor, collaborates with customers and delivery partners, drives standardization and continuous improvement, and identifies opportunities to use AI for automation, efficiency, data quality, and decision support.

Implements and integrates laboratory information systems, instruments, devices, and external applications. Designs, configures, programs, tests, and validates interfaces; investigates connectivity and data-flow issues; coordinates technical solutions with customers and development teams; manages small integration workstreams; produces documentation; delivers customer handovers and training; and supports project management, customer services, support, and sales with technical planning.

Designs, delivers, and improves employee onboarding, technical training, role-based curricula, and workforce-readiness programs for Global Support. Responsibilities include instructional design, facilitation, learning analytics, content governance, LMS administration, stakeholder consulting, and compliance with quality and regulatory standards. The role also develops AI-assisted learning workflows and evaluates training effectiveness. Requires collaboration with technical subject matter experts and cross-functional leaders, with up to 20% domestic and international travel.

Leads software quality engineering for scientific and healthcare products by designing, executing, and maintaining automated tests for complex workflows. Responsibilities include defect analysis, root cause investigation, risk mitigation, documentation review, CI/CD test monitoring, AI-enabled feature validation, and collaboration with domain experts. The role also provides technical leadership and mentors less-experienced test engineers while applying laboratory workflow, database, regulatory, and AI testing knowledge.

Lead and mentor a team of project managers to deliver complex, enterprise software implementations on time, on budget, and to scope. Own portfolio performance, forecasting, resource planning, risk management, executive reporting, and customer escalation. Partner with Sales and Solution teams for pre-sales planning, enforce disciplined governance and continuous improvement, and promote AI-enabled tools and modern software delivery practices (Agile/DevOps). Manage hiring, development, and performance of cross-functional teams and resolve cross-team issues to maintain delivery momentum.

Lead multiple complex software product programs using AI-enabled planning, predictive analytics, and automation. Own integrated release plans, manage scope, risks, dependencies, and stakeholders across engineering, product, quality, and operations to ensure delivery predictability and operational readiness.