ZipRecruiter

Log In

2

Remote Clinical Data Management Jobs in Utah (NOW HIRING)

previous page

Showing results 41-60

All JobsClinical Data Management JobsRemote Clinical Data Management JobsRemote Clinical Data Management Jobs in Utah

Remote Clinical Data Management information

See Utah salary details

$18

$52

$74

How much do remote clinical data management jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote clinical data management in Utah is $52.04, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $61.92 per hour, depending on experience, location, and employer.

What is remote clinical data management?

Remote clinical data management involves overseeing and maintaining the accuracy, integrity, and security of clinical trial data from a location outside of a traditional office or clinical site. Professionals in this field use digital tools and software to collect, validate, and analyze data gathered during clinical studies, ensuring regulatory compliance and high data quality. This role is essential for supporting drug development and medical research, and typically requires strong attention to detail, knowledge of data management systems, and understanding of clinical trial processes.

What are the key skills and qualifications needed to thrive as a remote clinical data manager, and why are they important?

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data standards, database management, and regulatory compliance, typically supported by a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications such as CDM (Certified Clinical Data Manager) are highly valuable. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for managing data integrity and collaborating with cross-functional teams remotely. These skills ensure accurate, compliant data collection and reporting, which are vital for successful clinical trials and regulatory submissions.

What are some common challenges faced when managing clinical data remotely, and how can they be addressed?

Remote Clinical Data Management professionals often encounter challenges such as ensuring data integrity, maintaining secure access to sensitive information, and staying aligned with team workflows despite geographic separation. To address these issues, it's important to leverage validated electronic data capture (EDC) systems, follow strict data security protocols, and participate in regular virtual meetings for clear communication. Building strong relationships with cross-functional teams and staying proactive about regulatory updates also contribute to overcoming these remote work challenges.

What are the most commonly searched types of Clinical Data Management jobs in Utah?

The most popular types of Clinical Data Management jobs in Utah are:

What are popular job titles related to Remote Clinical Data Management jobs in Utah?

For Remote Clinical Data Management jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Management jobs in Utah look for?

The top searched job categories for Remote Clinical Data Management jobs in Utah are:

What cities in Utah are hiring for Remote Clinical Data Management jobs?

Cities in Utah with the most Remote Clinical Data Management job openings:

Remote Clinical Data Management jobs near you
Infographic showing various Remote Clinical Data Management job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $108,251 per year, or $52 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salt Lake City, UT • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply