Qventus, Inc
Qventus, Inc
Qventus, Inc. अस्पतालों और स्वास्थ्य प्रणालियों के लिए एआई-संचालित SaaS समाधान विकसित करती है, जो स्वास्थ्य सेवा टीमों को नैदानिक संचालन और मरीजों के प्रवाह का प्रबंधन करने में मदद करते हैं। इसका प्लेटफ़ॉर्म कृत्रिम बुद्धिमत्ता, मशीन लर्निंग और व्यवहार विज्ञान को एक साथ लाकर पेरीऑपरेटिव देखभाल, भर्ती-पूर्व परीक्षण और अस्पताल में भर्ती मरीजों की क्षमता प्रबंधन से जुड़े कार्यप्रवाहों को स्वचालित करता है। इलेक्ट्रॉनिक स्वास्थ्य रिकॉर्ड के साथ एकीकरण के माध्यम से, Qventus ऐसे संचालन सहायक उपलब्ध कराती है जो नियमित कार्य संभालते हैं, जिससे सर्जरी रद्द होने की घटनाएं कम करने, अस्पताल में मरीजों के ठहरने की अवधि घटाने और नैदानिक कर्मचारियों को मरीजों की देखभाल के लिए अधिक समय देने में मदद मिलती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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