Q-Centrix

About the Company

At Q-Centrix, we see clinical data differently—as custom data sets with infinite possibilities. Providing the industry’s first Enterprise Clinical Data Management (eCDM™) platform, Q-Centrix combines AI-enabled technology, the largest and broadest team of clinical data experts, and insights from its more than 1,200 partners to help improve patient outcomes and drive process and performance improvement, strategic growth, and operational efficiency.

Our solutions address a variety of clinical data needs, including quality measurement and improvement, cardiovascular, oncology, trauma, research, and more.  

 Q-Centrix partners realize their vision through an ability to:
- Capture the tremendous value inherent in clinical data.
- Unlock insights that can only be found when unstructured data is structured
- Bring purpose to clinical data by advancing how it is captured, analyzed, and used, thereby accelerating innovation, advancing health equity, improving quality and much more. 
- Realize unparalleled data integrity and efficiency with the help of a team that dedicates an average of 120,000 hours per year solely to quality assurance.

Expertise:
Enterprise Clinical Data Management (eCDM™), Quality Measurement and Improvement (Core Measures, Infection Prevention, GWTG-Stroke), Oncology, Cardiovascular, Trauma, Research.

Q-Centrix is home to a multi-award-winning company culture:
• 2024-2025 Awards
- Best Workplaces in Health Care®, Fortune magazine and Great Place to Work®
- Great Place to Work-Certified™, Great Place to Work®
- Best and Best Large Places to Work Chicago, Built In
- Best and Best Large Places to Work San Diego, Built In
- Best Tech Team of the Year, Timmy Awards by Tech in Motion

Listed Jobs

Company Name

Q-Centrix

Job Title

Junior AI Engineer

Job Description

**Job Title:** Junior AI Engineer **Role Summary:** Develop, test, and deploy large‑language‑model (LLM) pipelines that extract structured clinical data from unstructured medical charts. Collaborate with product, data, engineering, and clinical teams to integrate AI outputs into production systems, maintain model performance, and uphold responsible AI and compliance standards. **Expectations:** - 1+ year of hands‑on LLM evaluation and deployment experience. - Ability to work autonomously in a fast‑paced, start‑up environment. - Strong cross‑functional communication and teamwork skills. - Commitment to model reliability, data security, and regulatory compliance. **Key Responsibilities:** - Design and implement scalable LLM‑based extraction pipelines for clinical text. - Automate prompt execution, result validation, and error handling. - Monitor, maintain, and troubleshoot production AI models to ensure uptime and accuracy. - Integrate AI outputs with existing healthcare data platforms (EHRs, clinical databases). - Evaluate and incorporate third‑party AI solutions when beneficial. - Stay current on LLM serving, model optimization, and responsible AI practices. **Required Skills:** - Proficiency in Python and software engineering best practices. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and data pipeline automation. - Knowledge of data engineering concepts and version control (Git). - Strong problem‑solving and debugging abilities. - Effective collaboration with technical and clinical stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field, **or** equivalent practical experience. - No specific certifications required; relevant coursework or training in machine learning is a plus.

Chicago, United states

Remote

Junior

19-10-2025