
Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
Cyntegrity is a company that provides AI-augmented risk-based quality management (RBQM) solutions for clinical trials. Their integrated solutions enhance operational efficiency through a comprehensive risk management approach, helping optimize clinical operations while ensuring compliance and reducing costs. With a focus on data quality and patient safety, Cyntegrity's MyRBQM Portal offers predictive analytics, decentralized clinical trial support, and educational resources to foster a quality-by-design culture. Their tools and methodologies are designed to address current regulatory guidelines and are trusted by many global organizations in the biopharmaceutical sector.
51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
💊 Pharmaceuticals
October 26

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
Cyntegrity is a company that provides AI-augmented risk-based quality management (RBQM) solutions for clinical trials. Their integrated solutions enhance operational efficiency through a comprehensive risk management approach, helping optimize clinical operations while ensuring compliance and reducing costs. With a focus on data quality and patient safety, Cyntegrity's MyRBQM Portal offers predictive analytics, decentralized clinical trial support, and educational resources to foster a quality-by-design culture. Their tools and methodologies are designed to address current regulatory guidelines and are trusted by many global organizations in the biopharmaceutical sector.
51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
💊 Pharmaceuticals
• Develop, maintain, and optimize structured and unstructured datasets. • Design and implement data mappings from raw clinical data to Cyntegrity’s internal formats. • Enhance data quality, consistency, and efficiency across systems. • Collaborate with R&D, Data Science, and QA teams to ensure alignment with business and regulatory requirements. • Support data transformation, ETL, and integration processes. • Work with both legacy and new code to improve scalability and reliability of data systems. • Contribute to risk management and compliance efforts across regulated environments.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • 3+ years of software programming experience. • 2+ years of experience with .NET, Python, or other scripting languages. • Experience with agile product development lifecycle. • Proficiency in data transformation, ETL, and pipeline development. • Familiarity with risk management concepts and process-oriented environments. • Comfortable working remotely and delivering measurable results. • Strong troubleshooting, communication, and problem-solving skills. • Working knowledge of written and spoken English.
• Remote work flexibility
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