Work directly with external partners to understand their technical use cases, guide API integrations, and develop solutions that unlock value from Beacon's data platform.
Design and implement integrated solutions, including PoCs, dashboards, and production-ready code, to help partners succeed with analytics and data access.
Collaborate with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models, tools, and workflows.
Beacon Biosignals is revolutionizing precision medicine for the brain by providing the leading at-home EEG platform for clinical development of neurological, psychiatric, and sleep disorder therapeutics. With nearly 100,000 patients' EEG data and a cloud-native analytics platform, they enable quantitative biomarker discovery and implementation, fostering a diverse and empathetic team culture.
Lead business requirements discovery sessions for complex supply chain implementations.
Execute product configurations and mentor junior consultants throughout the project lifecycle.
Apply advanced mathematical models and AI algorithms to improve customer supply chain performance.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We have grown from a team of three engineers in 1984 to over 2000 employees worldwide, with a best-in-class HQ in Ottawa, Canada, and a culture that values innovation and inclusion.
Articulate the value of Kinaxis solutions and serve as a supply chain subject matter expert.
Lead workshops to define software requirements, architecture, and deployment plans for customers.
Mentor team members and influence product roadmap to meet customer needs.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple global offices, they foster a culture of innovation and growth.
Design, develop, and maintain high-quality R and Shiny applications supporting biological and clinical data analysis workflows.
Process, analyze, and visualize complex life science datasets, ensuring accuracy, reproducibility, and usability of outputs.
Collaborate with scientists and stakeholders to gather requirements and translate them into technical solutions.
This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications for drug discovery and clinical trials. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics.