
Intrinseque Health is a global clinical trial support services provider certified with EN ISO 13485, ISO 9001, and GDPMDS. They assist drug development organizations, including pharmaceutical, biotechnology, and contract research organizations (CROs), with their clinical development programs. The company offers a comprehensive suite of services focused on clinical supply chain management, including strategy development, sourcing and procurement, in-study management, global storage and warehousing, distribution, study close-out, and direct-to-patient services. They also provide INTRIGENCE, an AI-powered clinical supply chain software, and strategic staff sourcing solutions. With over 300 years of combined experience among their professionals, Intrinseque Health aims to overcome the hurdles and pain-points of conducting clinical trials by ensuring timely availability and management of supplies, equipment, and services.

Intrinseque Health is a global clinical trial support services provider certified with EN ISO 13485, ISO 9001, and GDPMDS. They assist drug development organizations, including pharmaceutical, biotechnology, and contract research organizations (CROs), with their clinical development programs. The company offers a comprehensive suite of services focused on clinical supply chain management, including strategy development, sourcing and procurement, in-study management, global storage and warehousing, distribution, study close-out, and direct-to-patient services. They also provide INTRIGENCE, an AI-powered clinical supply chain software, and strategic staff sourcing solutions. With over 300 years of combined experience among their professionals, Intrinseque Health aims to overcome the hurdles and pain-points of conducting clinical trials by ensuring timely availability and management of supplies, equipment, and services.
The role involves designing and developing software solutions powered by Artificial Intelligence, focusing on leveraging technologies such as pattern recognition, neural networks, and natural language processing (NLP). Responsibilities also include collaborating with cross-functional teams, contributing to algorithm development, and ensuring the seamless integration of AI models into software systems.
Qualifications