Senior Software Engineer - ML Product

February 4

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ISPOR—The Professional Society for Health Economics and Outcomes Research

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ISPOR is the leading professional society for health economics and outcomes research (HEOR) globally. The Society's mission is to advance HEOR excellence to improve decision-making for health worldwide, providing resources, education, and collaboration opportunities to its members to promote the understanding and application of HEOR principles.

HEOR • Health Economics • Outcomes Research • Health Economics and Outcomes Research

11 - 50 employees

Founded 1995

⚕️ Healthcare Insurance

💊 Pharmaceuticals

📋 Description

• We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. • You will work closely with product managers, clinicians, data scientists, and other software engineers to develop and ship clinical ML/AI products for enterprise health systems. • As a Software Engineer, ML Product, you will work closely with product managers, clinicians, data scientists, and other software engineers to develop and ship clinical ML/AI products for enterprise health systems. You’ll play an important role to expand and scale our clinical AI module offerings with a high impact on our company revenue growth. • Collaborate with data scientists to accelerate our ML/AI model development and deployment to production. • Implement backend APIs and ML services to enable our clinical AI products. • Design, implement, and deploy health data pipelines and services for the ML products that integrate with electronic health record (EHR) systems using FHIR and HL7 communication standards. • Work closely with Product, Clinical, and Data Science to drive alignment and deliver impactful technology that saves lives.

🎯 Requirements

• BS in Computer Science or other relevant technical discipline. • 3+ years of experience developing and deploying ML-based products and services in production (Python preferred). • 3+ years experience in building and maintaining highly scalable and reliable cloud-based production ML systems (AWS, Google Cloud, Azure, etc.) with relational databases (Postgresql, MySQL, etc.). • Experience shipping ML/AI products in healthcare and/or at startups • Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards. • Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.