Clinical Technology Principal AI Solutions Lead
Job Location:
Indianapolis, IN - USA
Monthly Salary:
Not provided by the employer
Posted:
2 September 2026 (16 days ago)
Application Deadline:
30 November 2026
Vacancies:
1 Vacancy
Job Summary
Role Descriptions: Position Summary
The Clinical Technologist - AI Solutions Focus serves as the bridge between clinical business processes technology solutions and emerging Artificial Intelligence capabilities. This role partners with clinical operations business stakeholders vendors and technology teams to identify opportunities where AI-driven solutions can improve efficiency decision-making data quality and user experience across the clinical ecosystem.
The individual will maintain deep expertise in clinical technologies while acting as an AI champion helping evaluate implement govern and optimize AI-enabled tools and platforms that support clinical trial operations data review study execution and business processes.
Key Responsibilities
Clinical Technology Leadership
Serve as a subject matter expert for clinical technology platforms and business processes.
Partner with stakeholders to understand clinical workflows challenges and technology needs.
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.
AI Enablement and Innovation
Identify opportunities to leverage Artificial Intelligence Generative AI Machine Learning and intelligent automation within clinical processes.
Evaluate emerging AI tools and technologies for potential business value and feasibility.
Partner with development teams to define AI use cases requirements and success criteria.
Assist in the design testing validation and deployment of AI-enabled solutions.
Promote responsible AI adoption in accordance with company governance security privacy and compliance standards.
Develop business cases demonstrating the value and impact of AI-driven capabilities.
Product and Solution Management
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.
Change Management & Adoption
Act as an AI advocate and trusted advisor for business stakeholders.
Provide guidance training and best practices for AI solution adoption.
Create documentation user guides and educational materials.
Measure adoption metrics and business outcomes to drive continuous improvement.
Data & Analytics
Collaborate with data engineering and analytics teams to ensure data readiness for AI initiatives.
Support data quality data governance and information management practices.
Leverage analytics and insights to identify trends risks and optimization opportunities.
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Required Qualifications
Bachelors degree in Information Technology Computer Science Health Informatics Life Sciences Engineering or a related field.
Experience supporting clinical healthcare life sciences or 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.
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Preferred Qualifications
Experience with Artificial Intelligence Generative AI Machine Learning or intelligent automation technologies.
Familiarity with Large Language Models (LLMs) such as Microsoft Copilot Azure OpenAI Claude ChatGPT or similar platforms.
Understanding of AI governance responsible AI principles privacy security and compliance considerations.
Knowledge of clinical trial systems clinical data management or life sciences technology ecosystems.
Experience with cloud platforms such as Azure or AWS.
Experience developing AI use cases proof-of-concepts or innovation initiatives.
The Clinical Technologist - AI Solutions Focus serves as the bridge between clinical business processes technology solutions and emerging Artificial Intelligence capabilities. This role partners with clinical operations business stakeholders vendors and technology teams to identify opportunities where AI-driven solutions can improve efficiency decision-making data quality and user experience across the clinical ecosystem.
The individual will maintain deep expertise in clinical technologies while acting as an AI champion helping evaluate implement govern and optimize AI-enabled tools and platforms that support clinical trial operations data review study execution and business processes.
Key Responsibilities
Clinical Technology Leadership
Serve as a subject matter expert for clinical technology platforms and business processes.
Partner with stakeholders to understand clinical workflows challenges and technology needs.
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.
AI Enablement and Innovation
Identify opportunities to leverage Artificial Intelligence Generative AI Machine Learning and intelligent automation within clinical processes.
Evaluate emerging AI tools and technologies for potential business value and feasibility.
Partner with development teams to define AI use cases requirements and success criteria.
Assist in the design testing validation and deployment of AI-enabled solutions.
Promote responsible AI adoption in accordance with company governance security privacy and compliance standards.
Develop business cases demonstrating the value and impact of AI-driven capabilities.
Product and Solution Management
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.
Change Management & Adoption
Act as an AI advocate and trusted advisor for business stakeholders.
Provide guidance training and best practices for AI solution adoption.
Create documentation user guides and educational materials.
Measure adoption metrics and business outcomes to drive continuous improvement.
Data & Analytics
Collaborate with data engineering and analytics teams to ensure data readiness for AI initiatives.
Support data quality data governance and information management practices.
Leverage analytics and insights to identify trends risks and optimization opportunities.
---
Required Qualifications
Bachelors degree in Information Technology Computer Science Health Informatics Life Sciences Engineering or a related field.
Experience supporting clinical healthcare life sciences or 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.
---
Preferred Qualifications
Experience with Artificial Intelligence Generative AI Machine Learning or intelligent automation technologies.
Familiarity with Large Language Models (LLMs) such as Microsoft Copilot Azure OpenAI Claude ChatGPT or similar platforms.
Understanding of AI governance responsible AI principles privacy security and compliance considerations.
Knowledge of clinical trial systems clinical data management or life sciences technology ecosystems.
Experience with cloud platforms such as Azure or AWS.
Experience developing AI use cases proof-of-concepts or innovation initiatives.