
501 - 1000 employees
Founded 1983
☁️ SaaS
🤖 Artificial Intelligence
Healthcare • SaaS • Artificial Intelligence
Advarra is a provider of integrated technology and services for clinical research, combining institutional review and compliance services with software platforms to support the full clinical trial lifecycle. The company offers ethics review services (IRB, IBC, DMC, endpoint adjudication), site enablement and research staffing, and a suite of cloud products — including eRegulatory, eConsent, eSource/EDC, CTMS and study design tools — plus an AI-powered operational intelligence engine (Braid) to streamline trial start-up, enrollment, and operations. Advarra serves sponsors, CROs, research sites, and institutions with a focus on patient protection, regulatory compliance, and accelerating trial outcomes.
🕒 May 14
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501 - 1000 employees
Founded 1983
☁️ SaaS
🤖 Artificial Intelligence
Healthcare • SaaS • Artificial Intelligence
Advarra is a provider of integrated technology and services for clinical research, combining institutional review and compliance services with software platforms to support the full clinical trial lifecycle. The company offers ethics review services (IRB, IBC, DMC, endpoint adjudication), site enablement and research staffing, and a suite of cloud products — including eRegulatory, eConsent, eSource/EDC, CTMS and study design tools — plus an AI-powered operational intelligence engine (Braid) to streamline trial start-up, enrollment, and operations. Advarra serves sponsors, CROs, research sites, and institutions with a focus on patient protection, regulatory compliance, and accelerating trial outcomes.
• Support Advarra’s Analytics and Reporting team, working closely with both Business Intelligence and Data Engineering to deliver reporting, dashboards, and data-driven insights. • Create and maintain deliverables, conducting ad hoc analysis, and resolving business and technical issues. • Understand and optimize data structure to drive consistent data capture and reporting. • Lead situations where new data modeling is required to support the business. • Follow best practice as defined by Data Engineering to support Business Intelligence needs. • Drive collaboration with identification of required individuals necessary for identified resolutions. • Work with Business and Product Management team to ensure appropriate requirements are captured and documented. • Support the architect of solutions to support analytics needs. • Understand all development in process, regardless of team ownership, for appropriate tracking and project updates. • Participate in release management and deployment, where necessary. • Monitor data feeds and engage with Data Engineering to resolve issues.
• Bachelor’s Degree in Data Science, Information Science or related area of experience • 2-4 years of experience with a focus on SQL coding, system and data feed monitoring, and data validation • Excel – advanced • Snowflake – advanced • Databricks – advanced • SQL – advanced • DBT • Github • Presentation skills – advanced • Business analysis skills – advanced • Demonstrated proficiency in making effective, well-reasoned decisions • Demonstrated proficiency in end user requirements gathering • Ability to work on cross-functional teams • Excellent attention to detail and time management skills, proven ability to adapt and navigate change • Ability to quickly learn new technologies and systems
• health coverage • paid holidays • other benefits
Apply Now🕒 May 13
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