Search the 7 jobs at Bluesight

The Implementation Specialist - Trainer is responsible for providing training to clients on software products, creating training materials, maintaining updates, analyzing training effectiveness, and assisting with project enhancements. This role involves conducting webinars, creating feedback documentation, and collaborating with managers to improve training programs.

As an Embedded Systems Software Engineer at Bluesight, you will lead firmware initiatives, work on Linux-based systems, and develop APIs and integrations for RFID scanners. Your responsibilities include automating inventory management, managing device security, and collaborating with teams to ensure code quality and functionality.

The Account Executive will drive revenue growth by managing the sales process for SaaS solutions in hospital pharmacies. Responsibilities include achieving sales quotas, prospecting, maintaining pipelines, collaborating with other teams, and negotiating contracts. The role requires strong sales skills and the ability to influence senior executives.

The Software Engineer will design, build, and maintain high-scale fault tolerant systems for application engineering teams, improve service efficiency, conduct code reviews, and support various shared services in the healthcare sector.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Engineering Manager will lead a cross-functional team to enhance the company's healthcare data products, focusing on drug compliance systems. The role involves architectural and coding contributions, team management, and collaboration with product and design teams to ensure high-quality delivery.

Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.