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PatientIQ

👥 51-100💰 $20,000,000 Series B over 2 years agoBig DataPredictive AnalyticsSaaSInformation TechnologyHealth Care💼 Private Company
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PatientIQ is a collaborative platform designed for healthcare providers, industry partners, and researchers to enhance patient outcomes through effective communication and data sharing.

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Jobs at this company:

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🔥 EHR Integration Analyst
Posted 3 days ago

📍 United States

🔍 Healthcare

  • 3+ years’ experience in customer integrations or customer-facing roles.
  • Experience in healthcare, knowledge of HL7 v2, SMART on FHIR, and Electronic Health Records.
  • Experience managing multiple complex integration projects.
  • Excellent written and oral communication skills.
  • Strong analytical and reasoning skills.
  • Experience with various EHR vendors (Epic, Cerner, etc.).
  • Self-directed ability to manage simultaneous engagements with minimal supervision.
  • Skilled in advising customers on best practices and technical solutions.
  • BA/BS degree in Computer Science, Mathematics, or other quantitative fields.

  • Work closely with clients to identify integration requirements and design solutions.
  • Build, maintain, and test HL7 interfaces, RESTful APIs, and workflows connecting healthcare systems to PatientIQ.
  • Manage portfolio of customer integrations, designing technical interface logic and documentation.
  • Develop relationships with customer technical project leads.
  • Troubleshoot and resolve integration issues, providing technical support.
  • Monitor post-implementation adoption and resolve issues quickly.
  • Collaborate with Product and Engineering teams on customer feedback for product roadmap.
  • Advocate for customers in driving best practices and improving PatientIQ functionality.
Posted 3 days ago
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🔥 Data Engineer II
Posted about 1 month ago

📍 United States

🔍 Healthcare

  • BS/MS in Computer Science, Engineering, Mathematics, or a related field.
  • 2+ years of experience as a Data Engineer.
  • Experience designing, building, and maintaining ETL infrastructure in a production setting.
  • Experience working with large, complex datasets.
  • Deep knowledge of SQL and at least one programming language (e.g., Python, Java, Ruby).
  • Experience with Data Warehousing (Redshift, BigQuery, Snowflake).
  • Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure.
  • Experience with version control systems (e.g., Git) and writing reusable and extensible code.
  • Highly self-motivated with strong analytical problem-solving skills and attention to detail.

  • Clean and process large, complex datasets using tools such as SQL and Python.
  • Migrate client data into PatientIQ's platform per established service level agreements (SLA).
  • Develop rigorous data quality assurance checks throughout the ETL process.
  • Design, develop, maintain, and streamline scalable data pipelines to support healthcare data analysis.
  • Work closely with data analysts to understand their data needs and develop solutions to meet those needs.
  • Monitor and optimize the performance of data pipelines and systems.
  • Collaborate with other teams to integrate data from multiple sources.

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Posted about 1 month ago
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