ScribeEMR Systems - Principal Data Scientist - LLM/Deep Learning

Job Description :

This role will be part of ScribeEMR, a healthcare division of Focus Group, specializing in medical coding and scribing. We are building a suite of AI-powered, innovative, state-of-the-art web and mobile solutions to

alleviate the administrative burden of EMR data entry, increase provider satisfaction and productivity, and help improve the quality of care and patient outcomes. Our solutions combine cutting-edge AI technology and live scribes to streamline clinical workflows and enhance clinical decision-making.

- Define and develop AI-driven solutions forspeech recognition, text processing, and conversational AI.

- Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation.

- Architect and deploy AI models on cloud platforms (AWS, Azure, GCP), ensuring scalability and performance

- Develop and integrate Agentic AI frameworks, enabling multi-agent collaboration in AI-driven automation.

- Collaborate with cross-functional teams, including software engineers, ML engineers, and domain experts, to integrate AI models into real-world healthcare applications.

- Design and implement MLOps strategies to streamline AI model lifecycle management.

- Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR, and integrate AI systems with

- Develop rigorous testing and validation criteria for AI models, ensuring high accuracy and performance in clinical settings.

- Conduct cutting-edge research in AI, ASR, and NLP and contribute to publications, patents, and AIstrategy.

Roles and Responsibilities :

- Work with business analysts and healthcare professionalsto define software requirements and identify AI use cases.

- Develop and optimize robust machine learning algorithms for speech, text, and structured data processing.

- Implement LangChain and OpenAI APIs to build modular, flexible AI applications.

- Deploy, monitor, and enhance models in cloud environments using containerization, Kubernetes, and serverless architectures.

- Lead and mentor junior data scientists and engineers, fostering a culture of AI excellence and innovation.

- Conduct performance evaluations and iterative improvements on AI models to enhance efficiency and accuracy.

- Stay ahead of emerging AI trends, evaluating the feasibility of new research advancements in NLP, ASR, and GenAI.

- Ensure AI solutions adhere to ethical AI principles, regulatory compliance, and bias mitigation techniques.

- Design scalable, reusable, and production-ready AI frameworks forspeech and text analytics.