Data Scientist

6 days ago

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NextGen Healthcare

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NextGen Healthcare is a company that provides integrated health IT solutions to ambulatory practices. Their services include electronic health records (EHR), practice management, interoperability, patient engagement, and telehealth solutions. They aim to enhance the patient and provider experience through innovative technologies such as AI-driven workflows and mobile solutions. NextGen Healthcare also offers tailored solutions for various specialties and focuses on improving clinical and financial outcomes for their clients. They support practices of all sizes, from small offices to large enterprises, and emphasize the importance of interoperability and data exchange to enhance healthcare delivery.

EHR • financial • and HIE solutions for hospitals • health systems • physician practices

1001 - 5000 employees

Founded 1998

⚕️ Healthcare Insurance

☁️ SaaS

📡 Telecommunications

💰 Venture Round on 2015-02

📋 Description

• The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. • This role will work on building solutions that address real-world challenges. • 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 the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. • Perform other duties that support the overall objective of the position.

🎯 Requirements

• Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. • Experience working with multiple GenAI models, including open-source. • Experience with natural language processing (NLP) and computer vision techniques. • Experience in data preprocessing and model deployment. • Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). • Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). • Knowledge of voice recognition and transcription technologies is a plus. • Strong programming skills in Python or similar languages. • Strong problem-solving skills and a growth mindset.