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Dice - Indiana

Clinical Technologist - AI Solutions Indianapolis - IN - Indiana

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What they do

A Clinical Data Analyst is responsible for gathering, compiling, modeling, validating, and analyzing clinical trial results data needed by pharmaceutical companies, governmental agencies, and biotechnology firms evaluate the effectiveness of their trial drugs. May be responsible for designing, testing, and implementing clinical data reporting systems for the clinical staff to use.

$75,672 / year median in Indiana

-9% projected decline

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Job Description

Sierra Business Solution LLC Apply Now Clinical Technologist

  • AI Solutions Indianapolis
  • IN•Indiana Indianapolis, IN, US • Posted 3 hours ago • Updated 3 hours ago Contract Corp To Corp Contract W2 12 Months On-site $55•$60/hr Fitment Dice Job Match Score™ To see how well you match this job, please log in or create an account .

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Job Details Skills Clinical Technology Artificial Intelligence Machine Learning Data Quality Stakeholder Management Clinical Technology Artificial Intelligence Machine Learning Data Quality Stakeholder Management 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. 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. Key Success Measures Successful identification and implementation of AI-driven business improvements. Increased efficiency and productivity within clinical processes. Adoption and effective utilization of AI-enabled tools. Positive stakeholder engagement and user satisfaction. Delivery of scalable, compliant, and secure technology solutions. Contribution to innovation and digital transformation objectives. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

90911958

Position Id:

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