Qventus, Inc
Qventus, Inc
Qventus, Inc. izstrādā mākslīgā intelekta darbinātus SaaS risinājumus slimnīcām un veselības aprūpes sistēmām, palīdzot veselības aprūpes komandām pārvaldīt klīniskās darbības un pacientu plūsmu. Tās platforma apvieno mākslīgo intelektu, mašīnmācīšanos un uzvedības zinātni, lai automatizētu darba plūsmas perioperatīvajā aprūpē, pirmsoperācijas pārbaudēs un stacionārās aprūpes kapacitātes pārvaldībā. Integrējoties ar elektroniskajiem veselības aprūpes reģistriem, Qventus nodrošina operatīvos asistentus, kas veic ikdienas uzdevumus, palīdz samazināt atcelto operāciju skaitu, atbalsta īsāku uzturēšanos slimnīcā un sniedz klīniskajam personālam vairāk laika pacientu aprūpei.

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.

Apraksts

  • 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

Prasības

  • 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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