EthioNexis Health Inc. jobs and careers

About EthioNexis Health Inc.

The Data Diversity Problem in Healthcare AI 83% of clinical trial participants are white. This creates AI systems that fail diverse populations and limits the global applicability of new treatments. Pharmaceutical companies and AI developers need access to representative patient data, but regulatory barriers, fragmented systems, and ethical concerns make this nearly impossible. EthioNexis Solves This Our Connect+ Health Data Ecosystem https://www.connectplus.health/ provides governed access to diverse global health data through federated Trusted Research Environments. We enable pharmaceutical companies, AI developers, and research institutions to access the patient populations they need - ethically, compliantly, and efficiently. What Makes Us Different - Diverse Data Access: Partnerships spanning Canada, DRC, and Brazil representing 10M+ patients, with focus on underrepresented populations - Data Stays Put: Federated analytics mean you bring algorithms to data, not data to you—solving sovereignty and compliance challenges - Ethical by Design: Fair compensation for data suppliers (82-88% of transaction value), blockchain governance, and Indigenous data sovereignty alignment - Standards-Based: OMOP CDM, FHIR-compatible, positioning for EHDS compliance Who We Serve • Pharmaceutical companies seeking diverse populations for clinical trials and real-world evidence • Healthcare AI developers needing representative training data • Research institutions conducting multi-jurisdictional studies • CROs optimizing patient recruitment and data access Ready to access health data that represents the world's populations? Connect with us to discuss your research data needs. Proudly Canadian | Globally Connected