Senior Software Engineer - Backend ML

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 that’s building a health AI platform to help clinicians make better use of real-time data to reduce preventable complications and save patient lives. • We’re looking for a software engineer with breadth of experience across technical stacks who wants to make an impact in the healthcare space. • We’re using state-of-the-art tech to build AI co-pilots for doctors and nurses to literally help them save lives! Read more about our recent publication in Nature Medicine that associates our products with lives saved. • We’re a diverse and experienced team of AI/ML experts, software engineers, product designers, behavior change specialists, and clinicians. We’re not afraid of hard problems and are highly results-oriented. We also like to have fun while we’re working on hard things. Our culture is highly collaborative, inclusive, supportive, and we have a strict “no jerks” policy. • We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. • This role is critical to our ability to expand and scale our platform and module offerings. Our platform and modules are 100% powered by data and ML, and it’s crucial to have a reliable platform to guarantee correctness of our application functionality.

🎯 Requirements

• You have 5+ years of experience in developing and deploying ML-based products and services in production. • You have 5+ years of experience in building and maintaining highly scalable and reliable cloud-based production ML systems. • You have 3+ years of experience using MLOps principles to build infrastructure that enables ML model development and deployment in production systems. • You have 3+ years of experience with relational databases such as Postgresql, MySQL, etc. • You have 3+ years of experience with cloud platforms such as AWS, Google Cloud, Azure, etc. • You have hands-on experience implementing production ML systems at scale in Python, C++, or similar languages. Proficiency in Python is highly preferred. • You have experience in solving complex system and storage challenges through scalable, fault-tolerant architecture. • You get things done, you are comfortable with uncertainty, and you have the grit to overcome challenges and help our team build Bayesian Health for the long term. • You have a track record as a collaborative, driven team player with a high sense of ownership. • You have a BS in Computer Science or equivalent experience. • Experience with health data, integration with electronic health records (EHR) systems, and Health IT interoperability standards is preferable.