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NextGen Healthcare

EHR, RCM, analytics for practices

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGeorgia, USANo salary listedRemote

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field, or an equivalent combination of education and experience.
  • Experience working with multiple generative AI models, including open-source models.
  • Experience with natural language processing and computer vision techniques.
  • Experience in data preprocessing and model deployment.
  • Foundational knowledge of generative AI techniques and frameworks, including Transformers, GPT, and diffusion models.
  • Proficiency with machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with healthcare data structures, workflows, and challenges, including EMR/EHR integration, ICD/CPT coding, and HL7/FHIR.
  • Programming skills in Python or similar languages.

Responsibilities

  • Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings.
  • Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards.
  • Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR.
  • Stay updated with advancements in generative AI, natural language processing, computer vision, and healthcare AI technologies.
  • Perform other duties that support the overall objective of the position.

Desired Qualifications

  • Knowledge of voice recognition and transcription technologies.

About the Company

NextGen Healthcare

EHR, RCM, analytics for practices

NextGen Healthcare provides software, services, and analytics for medical and dental group practices. Its core products include electronic health records (EHR), revenue cycle management (RCM), analytics, interoperability, and mobile solutions, all delivered via software and subscription services with professional services for implementation. The platform helps physicians and dental teams improve clinical care, financial management, patient engagement, population health, and move toward value-based healthcare. Distinguishing factors include an end-to-end, practice-focused suite and offerings designed to support practice workflow, interoperability, and transitions to value-based models through configurable software and support services.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Horsham, PA
Founded
1973

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