Senior Software Engineer at H1 | Torre
Senior Software Engineer
H1
H1

Senior Software Engineer

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Full-time

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Remote (anywhere)
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Posted about 2 years ago

Responsibilities & more

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into actions that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. As a Senior Engineer on the Data Engineering team, you will work alongside a multi-disciplinary team of software engineers, machine learning engineers, product managers, front-end engineers, and designers. You will work on utilizing and/or adapting various types of algorithms to solve challenging business problems in a variety of areas including entity recognition and resolution, natural language understanding, knowledge graphs and information systems. Responsibilities: - Build data-based software products that use large amounts of data of various types – structured and unstructured; numeric, text, and graph. - Build relevant data processing capabilities and optimization workflows to support large-scale learning from such multi-modal data. - Develop scalable distributed pipelines for processing large amounts of data quickly and efficiently. - Develop scalable, distributed microservices to serve a large volume of queries and data. - Develop efficient distributed algorithms for processing and joining large datasets. - Develop signals models for various analytical tasks such as synonyms, topic modeling, similarity, recommendations, search ranking, etc. - Write simple, modular code that is easy to understand and easy to maintain - Build quick Proof of Concepts (POC) and take ownership around projects to demonstrate utilization and value, and drive to production-ready solutions. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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