ironquill.tech/board

$ cat jobs/software-development-engineer-branchlab-a4b089df3909.json

Software Development Engineer

Branchlab·Worldwide·Boulder, CO·mid
aws
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Employee Location: Boulder, CO, relocation stipend available Reporting To: Chief Technology Officer Job Type: Full-time, Hybrid in office Boulder, CO Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship ABOUT BRANCHLAB BranchLab is an AI-native healthcare commercialization platform that helps pharmaceutical brands, healthcare marketers, agencies, and media partners identify, activate, and optimize audiences most likely to drive meaningful health outcomes. Using predictive modeling and advanced audience intelligence, BranchLab enables clients to build custom patient, caregiver, and healthcare professional (HCP) audiences, activate them across digital, TV, social, audio, and out-of-home media, and optimize performance against real-world outcomes. Our mission is to improve healthcare commercialization by helping organizations make faster and smarter marketing decisions while maintaining the highest standards of privacy, compliance, and scientific rigor. We work with some of the world's leading healthcare organizations to improve how treatments, providers, and health information reach the people who need them most. THE OPPORTUNITY We’re looking for a backend focused Sr. Software Engineer to join our Boulder-based team and help build the infrastructure powering our privacy first, data-driven platform. This role blends distributed systems engineering and cloud-native development in a high-impact environment. You’ll design scalable systems to process, transform, and query large volumes of anonymized healthcare data. You’ll also design systems to drive insights and power downstream applications. KEY RESPONSIBILITIES Design, build, and maintain backend systems and APIs using Python. - Architect distributed systems using AWS services like EKS, EMR, S3 and Athena. - Deploy ML models in engineering pipelines. - Build and optimize ETL pipelines and secure data-sharing workflows using Spark. - Deploy a

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