Clinical Technologist – AI Solutions Focus

Clinical Technologist – AI Solutions Focus

Serve as a bridge between clinical business processes, technology solutions, and artificial intelligence capabilities. Partner with clinical operations, business stakeholders, vendors, and technology teams. Identify opportunities where AI-driven solutions can improve efficiency, decision-making, data quality, and user experience. Maintain expertise in clinical technologies while acting as an AI champion. Help evaluate, implement, govern, and optimize AI-enabled tools and platforms supporting clinical trial operations, data review, study execution, and business processes.

• Serve as a subject matter expert for clinical technology platforms and business processes.
• Partner with stakeholders to understand clinical workflows, challenges, and technology requirements.
• Drive technology solutions that improve operational efficiency and data quality.
• Support implementation, enhancement, and lifecycle management of clinical applications.
• Collaborate with vendors and internal teams to ensure solutions align with business objectives.

• Identify opportunities to leverage artificial intelligence, generative AI, machine learning, and intelligent automation.
• Evaluate emerging AI tools and technologies for business value and feasibility.
• Partner with development teams to define AI use cases, requirements, and success criteria.
• Assist with the design, testing, validation, and deployment of AI-enabled solutions.
• Promote responsible AI adoption in alignment with governance standards, security requirements, privacy standards, and compliance requirements.
• Develop business cases demonstrating the value and impact of AI-driven capabilities.

• Translate business requirements into technical specifications and user stories.
• Participate in roadmap planning for AI-enabled clinical products and services.
• Monitor solution performance and identify enhancement opportunities.
• Support user acceptance testing, validation activities, and release management.

• Act as an AI advocate and trusted advisor for business stakeholders.
• Provide guidance, training, and best practices for AI solution adoption.
• Create technical documentation, user guides, and educational materials.
• Measure adoption metrics and business outcomes.
• Drive continuous improvement based on adoption and performance data.

• Collaborate with data engineering and analytics teams to ensure data readiness for AI initiatives.
• Support data quality, data governance, and information management.
• Leverage analytics and insights to identify trends, risks, and optimization opportunities.

• Bachelor's degree in information technology, computer science, health informatics, life sciences, engineering, or related field.
• Experience supporting clinical environments, healthcare, life sciences, and regulated technology environments.
• Strong understanding of clinical business processes and technology solutions.
• Experience gathering requirements and partnering with business stakeholders.
• Excellent analytical, communication, and problem-solving skills.
• Demonstrated ability to lead cross-functional initiatives.

• Experience with artificial intelligence, generative AI, machine learning, and intelligent automation.
• Familiarity with large language models (LLMs), including Microsoft Copilot, Azure OpenAI, Claude, and similar platforms.
• Understanding of AI governance, responsible AI, privacy, security, and compliance.
• Knowledge of clinical trial systems, clinical data management, and life sciences technology ecosystems.
• Experience with cloud platforms such as Microsoft Azure and AWS.
• Experience developing AI use cases, proofs of concept (POCs), and innovation initiatives.

• Successfully identify and implement AI-driven business improvements.
• Increase efficiency and productivity within clinical processes.
• Drive adoption and effective utilization of AI-enabled tools.
• Maintain positive stakeholder engagement and user satisfaction.
• Deliver scalable, compliant, and secure technology solutions.
• Contribute to innovation and digital transformation objectives.

• Clinical Technology
• Artificial Intelligence (AI)
• Generative AI
• Machine Learning
• Intelligent Automation
• Large Language Models (LLMs)
• Microsoft Copilot
• Azure OpenAI
• ChatGPT
• Claude
• AI Governance
• Responsible AI
• Clinical Trials
• Clinical Data Management
• Healthcare / Life Sciences
• Data Quality
• Data Governance
• Azure
• AWS
• UAT
• Requirements Gathering
• Stakeholder Management
• Digital Transformation