AI-DRIVEN CAREER PROGRAMS

The CRAI program equips learners with core CRA competencies plus applied AI knowledge to manage trials in pharmaceutical, biotech, and CRO settings.

The DSAI program equips learners with critical knowledge of drug safety operations, regulatory compliance, and real-world safety reporting, while incorporating the use of AI technologies to enhance efficiency, accuracy, and decision-making.

The AICD program introduces learners to AI applications in analyzing clinical trial data, focusing on how automation, predictive modeling, and natural language processing (NLP) enhance efficiency and regulatory compliance. This program bridges the gap between traditional CDM/statistical programming and next-generation AI-driven analytics.

The AICR program provides learners with a comprehensive introduction to AI applications in clinical research analytics, combining traditional trial management principles with modern AI/ML-powered solutions. It is designed for clinical professionals preparing for AI-integrated trial management roles.

The AIDS program introduces learners to AI applications in drug safety and pharmacovigilance, combining PV fundamentals with advanced AI-driven workflows. It prepares professionals for the next generation of safety operations, where automation and predictive insights improve efficiency, accuracy, and regulatory compliance.

The AIPV program introduces learners to AI-driven solutions in pharmacovigilance, equipping them with the skills to integrate automation, predictive analytics, and intelligent tools into PV workflows.

Artificial Intelligence (AI) is transforming Clinical Data Management (CDM) by automating repetitive tasks, improving data quality, and enabling predictive insights. From intelligent query detection to automated discrepancy management and risk-based monitoring, AI is helping CDM professionals deliver faster, cleaner, and regulatory-ready data

Pharmacovigilance (PV) is evolving rapidly with the integration of Artificial Intelligence (AI) and Machine Learning (ML). Traditional PV workflows such as case intake, coding, signal detection, and reporting are now being enhanced by AI to deliver greater speed, accuracy, and compliance. 

Qtech-Sol specializes in Clinical Science Training and offers a comprehensive program for aspiring and working Clinical Data Management (CDM) professionals operating in modern, AI-enabled research environments. The CDAI program blends core CDM competencies with applied AI skills used throughout the data lifecycle across pharmaceutical, biotech, and CRO settings. 

At Qtech-Sol, we provide specialized professional-development programs that prepare learners to lead modern Clinical Data Management (CDM) operations. The LCDM program is designed for professionals who already possess foundational CDM experience and are ready to advance into leadership and oversight roles within pharmaceutical, biotechnology, or CRO environments.