Lead Software Engineer

at  Saba Health Care

Remote Opportunity!
Join us and lead the development of an innovative software focusing medical record summarization, and help us move the healthcare industry forward!

Responsibilities:

• Product Design and Development: Leading the technical design and implementation of our prototype through full development.
• AI Integration: Integrate existing AI models for natural language processing (NLP) and machine learning to accurately extract and summarize key information from medical records.
• File Handling: Implement robust mechanisms to handle various input formats, including PDF, Word files, and scanned handwritten notes.
• OCR Implementation: Use Optical Character Recognition (OCR) technology to digitize and process handwritten notes, ensuring high accuracy and reliability.
• API & Library Integration: Integrate necessary libraries and APIs to enhance functionality, including third-party healthcare platforms and existing workflow systems.
• Workflow Integration: Integration with existing healthcare workflow platforms, ensuring smooth data exchange and interoperability.
• Quality Assurance: Implement rigorous testing protocols to ensure the software is robust, secure, and free of critical bugs.
• Documentation: Create documentation for the codebase, APIs, and user guides to facilitate future development and user onboarding.

Requirements:
Experience: Proven experience in software development, particularly in building for startups. Previous work in the healthcare or medical technology industry highly desirable.

Technical Skills:

• Proficiency in Python and key cloud development frameworks (e.g., AWS, Azure, GCP).
• Strong knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with OCR technologies (e.g., Tesseract, Adobe OCR).
• Familiarity with handling and processing PDF and Word documents.
• Knowledge of integrating third-party APIs and libraries.
• Experience with cloud platforms (e.g., AWS, Azure) and DevOps practices.

Problem-Solving: Excellent analytical and problem-solving skills with a detail-oriented mindset.
Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with team members and stakeholders.
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field. Advanced degrees or relevant certifications are a plus.

Preferred Qualifications:

• Experience with healthcare data standards (e.g., HL7, FHIR).
• Familiarity with medical coding standards (e.g., ICD-10, CPT).
• Familiarity with data privacy regulations (e.g., HIPAA) and best practices for handling sensitive medical information.
• Preference for candidates with experience in UI/UX design to ensure a user-friendly interface and optimal user experience.
• Prior experience with agile development methodologies.

• Product Design and Development: Leading the technical design and implementation of our prototype through full development.
• AI Integration: Integrate existing AI models for natural language processing (NLP) and machine learning to accurately extract and summarize key information from medical records.
• File Handling: Implement robust mechanisms to handle various input formats, including PDF, Word files, and scanned handwritten notes.
• OCR Implementation: Use Optical Character Recognition (OCR) technology to digitize and process handwritten notes, ensuring high accuracy and reliability.
• API & Library Integration: Integrate necessary libraries and APIs to enhance functionality, including third-party healthcare platforms and existing workflow systems.
• Workflow Integration: Integration with existing healthcare workflow platforms, ensuring smooth data exchange and interoperability.
• Quality Assurance: Implement rigorous testing protocols to ensure the software is robust, secure, and free of critical bugs.
• Documentation: Create documentation for the codebase, APIs, and user guides to facilitate future development and user onboarding