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Twin Health

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👥 1000-5000
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🔥 Telehealth Provider
Posted 2024-11-21

📍 USA

🧭 Full-Time

💸 200000 - 215000 USD per year

🔍 Digital Health

  • MD/DO with ABMS Board Certification in Internal Medicine or Family Practice
  • Minimum 2-3 years of clinical practice experience
  • Active state licenses in multiple states, ILMC Compact preferred
  • Excellent communication skills with a focus on clinician-patient interaction
  • Available to be on-call 1 in 6 weeks
  • Willingness to learn new technology platforms with training
  • Willingness to conduct interactive video-based consults remotely
  • Ability to work closely with Advanced Practitioners (NPs and PAs)

  • Perform initial screening consultations for member enrollment utilizing Twin guidelines
  • Utilize the Twin Platform to make medication management decisions and write prescriptions
  • Monitor critical symptoms for the Twin member population and consult on follow-up as needed
  • Monitor and oversee APP management of Twin members
  • Provide consultation and collaboration with APPs regarding member management
  • Occasionally respond to member inquiries regarding Twin Health and prior authorizations
  • Provide feedback on new technology and protocols to improve patient care

Communication SkillsAnalytical SkillsCollaborationProblem SolvingCustomer serviceAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitasking

Posted 2024-11-21
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🔥 Senior Machine Learning Platform Engineer
Posted 2024-11-21

📍 USA

💸 150000 - 180000 USD per year

🔍 Healthcare technology

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of industry experience.
  • Familiarity with architectural frameworks of large, distributed ML applications.
  • Experience in implementation of applications using LLM’s and GenAI.
  • Solid understanding of MLOps, data structures, and software design principles.
  • Proficiency in Python and experience with languages like Java or Go.
  • Strong knowledge in deploying scalable ML models using Docker, Kubernetes, and microservices.
  • Experience with database technologies (SQL, NoSQL) and big data processing frameworks (Hadoop, Spark) is a plus.

  • Architect, design, and build robust and efficient ML systems for a production environment.
  • Collaborate closely with data scientists to optimize workflows for model training and inference.
  • Be a subject matter expert on ML infrastructure.
  • Ensure operational excellence and reliability of ML systems by defining SLAs.
  • Develop tools for model management and continuous monitoring.
  • Mentor and promote a culture of continuous learning within the team.

DockerLeadershipPythonSQLJavaKubernetesMachine LearningData StructuresGoNosqlCollaborationMicroservices

Posted 2024-11-21
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