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Company Overview:
We are a startup agency dedicated to transforming the oncology care experience. Our mission is to enhance the operational efficiency of oncology centers and improve patient outcomes through innovative AI and NLP driven solutions.

Job Summary:
We are seeking a highly skilled AI Workflow Automation Developer to design and build a specialized platform for oncology centers. This platform will automate treatment scheduling, optimize chemotherapy drug inventory, and enhance patient tracking through advanced AI and Natural Language Processing (NLP) techniques.

Key Responsibilities:

    Automated Treatment Scheduling for Oncology Centers:
        Design and implement an AI-powered scheduling system for chemotherapy, radiation therapy, and follow-up appointments.
        Integrate seamlessly with existing EHR systems such as Epic, Cerner, or All scripts.
        Develop an intelligent scheduling engine that adapts appointment times dynamically using real-time patient data.

    Chemotherapy Drug Inventory Optimization:
        Create predictive inventory management systems using AI to forecast drug needs based on historical patient data and treatment schedules.
        Implement real-time tracking and alert systems for drug stock levels and expiration dates.

    Patient Data Management and Monitoring:
        Leverage NLP to extract actionable insights from unstructured EHR data, including lab results, clinical notes, and imaging reports.
        Develop a comprehensive patient tracking dashboard for clinicians to monitor treatment progress and side effects.
        Enable real-time reporting to aid in informed treatment decisions.

Key Features & Deliverables:

    AI-powered treatment scheduler to reduce manual errors and optimize resources.
    Predictive models for chemotherapy drug stock management.
    NLP integration for real-time data extraction and insights.
    User-friendly clinician dashboard tracking the entire patient journey.

Required Expertise & Qualifications:

    3+ years of experience in AI workflow automation for healthcare, ideally in oncology.
    Expertise in EHR integration (Epic, Cerner, or All scripts) and healthcare data standards (HL7, FHIR).
    Proven experience with NLP for extracting clinical data from unstructured medical records.
    Knowledge of oncology treatment protocols, including chemotherapy and radiation therapy workflows.
    Understanding of HI PAA compliance and healthcare data security.

Preferred Skills:

    Familiarity with cloud platforms like AWS or Google Cloud.
    Experience with AI frameworks (TensorFlow, PyTorch).
    Track record of developing solutions for small-to-medium oncology clinics or hospitals.
    Strong UI/UX design for clinician-friendly applications.

Preferred Technology Stack:

    Back end: Python, Node.js, Java
    AI/ML Frameworks: TensorFlow, PyTorch, Keras
    NLP Tools: Spa Cy, NLTK, Hugging Face
    Database: PostgreSQL, MySQL, MongoDB
    EHR Integration: HL7, FHIR, Smart on FHIR
    Cloud Infrastructure: AWS, Google Cloud, Microsoft Azure
    Front end: React.js, Angular, Vue.js

Project Tools:

    Jira or Trello for task tracking
    Slack for communication
    Confluence for documentation
    GitHub/Git Lab for version control
    Zoom/Microsoft Teams for meetings

Timeline & Budget:

    Project Duration: 3 to 6 months
    Budget: Negotiable based on experience and project complexity

Application Instructions:
To apply, please submit the following:

    A detailed portfolio or case studies of relevant AI healthcare projects, preferably in oncology.
    A brief overview of your approach to developing workflow automation and NLP for healthcare systems.
    A description of your experience with EHR integration and the specific systems you’ve worked with.
    References or testimonials from previous clients, particularly in oncology or healthcare.

We look forward to collaborating with a passionate AI professional to revolutionize oncology workflows and improve patient care through cutting-edge technology.

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