Qventus, Inc
Qventus, Inc
Qventus, Inc. ауруханалар мен денсаулық сақтау жүйелеріне клиникалық операциялар мен пациент ағынын басқаруға көмектесетін жасанды интеллектке негізделген SaaS шешімдерін әзірлейді. Оның платформасы периоперациялық күтім, ауруханаға дейінгі тексеру және стационарлық орын сыйымдылығын басқару салаларындағы жұмыс процестерін автоматтандыру үшін жасанды интеллектіні, машиналық оқытуды және мінез-құлық ғылымын біріктіреді. Электрондық денсаулық сақтау жазбаларымен интеграциялану арқылы Qventus күнделікті тапсырмаларды орындайтын операциялық көмекшілерді ұсынады. Бұл операцияларды тоқтату жағдайларын азайтуға, ауруханада жату мерзімін қысқартуға және клиникалық қызметкерлерге пациенттерге күтім жасауға көбірек уақыт бөлуге көмектеседі.

Senior Data Scientist – Healthcare AI (Canada Remote)

Develop production machine learning and LLM systems that improve healthcare operations and patient outcomes. Lead modeling, experimentation, analytics, and data pipeline work in collaboration with clinical, engineering, and product teams.

Сипаттама

  • Build and maintain large-scale statistical and machine learning models, including NLP and explainable AI methods
  • Develop, optimize, and deploy LLM applications with thorough assessments of performance and user trust
  • Create experiments and analytics that measure the overall impact of AI in healthcare environments
  • Clean and transform datasets while developing SQL and Python data pipelines
  • Partner with clinicians, data scientists, platform engineers, and product specialists to turn insights into deployed products
  • Present technical findings effectively to both technical and non-technical audiences
  • Assess modeling methods and help productionize algorithms with data science and product teams

Талаптар

  • At least three years of relevant industry experience developing, launching, and maintaining production ML systems at scale
  • At least one year of experience developing and optimizing LLM systems
  • Proven ability to communicate across technical and non-technical functions
  • Practical data engineering experience with dataset manipulation, data cleaning, and Python and SQL pipelines
  • Strong software development fundamentals, with a focus on code quality and reliable architecture
  • Employment is conditional on successfully completing a pre-employment background investigation and drug test

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