About The Company
Triomics is a pioneering organization dedicated to transforming oncology clinical research through creative AI-driven solutions. Our platform leverages advanced artificial intelligence, powered by OncoLLMTM, to automate and streamline the operational aspects of clinical trials, including trial screening, eligibility interpretation, and oncology data abstraction. We partner with leading academic cancer centers and healthcare institutions to enhance the speed, accuracy, and audit-readiness of clinical data, ultimately facilitating faster and more reliable oncology research. Triomics’ integrated approach ensures seamless compatibility with electronic health records (EHRs) and clinical trial management systems (CTMS), making us a trusted leader in the field of oncology data science and clinical automation.

About The Role
The Quality Control Analyst – Clinical Team at Triomics plays a critical role in maintaining the highest standards of data quality within our AI-assisted oncology data abstraction workflows. Positioned as the final review checkpoint,



this role involves auditing the outputs generated by Medical Data Abstractors (MDAs) and Senior Medical Data Abstractors (Sr. MDAs). These abstractors work within sophisticated AI-assisted environments to review, validate, and refine diagnostic, pathology, imaging, and treatment data extracted by our platform. The QC Analyst ensures that all human-reviewed data meet strict protocol and quality standards before finalization, contributing to the integrity and reliability of our clinical datasets. Additionally, the role may involve participating directly in AI output reviews and quality improvement initiatives across multiple projects, aligning with business needs and project scope.

Qualifications
The ideal candidate will possess a minimum of three years of experience in oncology clinical data abstraction, clinical research, or related patient-treatment data analysis roles. Prior experience as a Quality A

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