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Associate Clinical Data Manager Jobs in Indiana (NOW HIRING)

Clinical Architecture

Clinical Informaticist

Carmel, IN · On-site

Strong working knowledge of healthcare data management, clinical informatics, standardized terminologies, semantic interoperability, and data analysis required. * Strong technical aptitude with the ...

Zimmer Biomet

$14.25 - $19/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

Zimmer Biomet

$14.25 - $19/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

Zimmer Biomet

$14.50 - $19.25/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

Zimmer Biomet

$14.75 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

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All JobsAssociate Clinical Data JobsAssociate Clinical Data Manager JobsAssociate Clinical Data Manager Jobs in Indiana

Associate Clinical Data Manager information

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$13

$37

$82

How much do associate clinical data manager jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate clinical data manager in Indiana is $37.07, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $37.07 per hour, depending on experience, location, and employer.

What does an associate clinical data manager do?

An Associate Clinical Data Manager is responsible for collecting, cleaning, and managing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with clinical teams to design data collection tools, monitor data quality, and resolve discrepancies. Their work is crucial in supporting the analysis and reporting of clinical trial results, which can impact decisions about new medical treatments.

What are the key skills and qualifications needed to thrive as an associate clinical data manager?

To thrive as an Associate Clinical Data Manager, you need a solid background in life sciences or related fields, strong analytical abilities, and attention to detail, often supported by a relevant bachelor's degree. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and an understanding of regulatory guidelines such as ICH-GCP are typically required. Excellent organizational skills, effective communication, and problem-solving abilities help you excel in managing complex datasets and collaborating across teams. These skills ensure data integrity, regulatory compliance, and smooth conduct of clinical trials, which are critical to successful drug development.

What are some common challenges an associate clinical data manager might face when working on multi-site clinical trials?

Associate Clinical Data Managers often encounter challenges such as ensuring data consistency across different trial sites and managing discrepancies that arise from varying data entry practices. Coordinating with site staff, monitoring data quality, and adhering to strict timelines require strong communication and organizational skills. Additionally, adapting to evolving regulatory requirements and new data management technologies can be demanding, but these challenges also offer valuable learning opportunities for career growth.

What are the most commonly searched types of Clinical Data Manager jobs in Indiana?

The most popular types of Clinical Data Manager jobs in Indiana are:

What are popular job titles related to Associate Clinical Data Manager jobs in Indiana?

For Associate Clinical Data Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Associate Clinical Data Manager jobs in Indiana look for?

The top searched job categories for Associate Clinical Data Manager jobs in Indiana are:

What cities in Indiana are hiring for Associate Clinical Data Manager jobs?

Cities in Indiana with the most Associate Clinical Data Manager job openings:

Associate Clinical Data Manager jobs near you
Infographic showing various Associate Clinical Data Manager job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $77,096 per year, or $37.1 per hour.

Clinical Technology Principal / AI Solutions Lead

Purple Drive

Indianapolis, IN • On-site

Contractor

Posted 4 days ago

Job description

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
· Bachelor's 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.