
AI Engineer for Clinical Data Science
1 day ago
Unlock the Power of Clinical NLP as an AI Engineer.
About the RoleWe are seeking an experienced AI Engineer with a focus on Natural Language Processing (NLP) to help us unlock valuable insights from clinical notes, care plans, and patient documentation. The ideal candidate will work with transformer models and rule-based techniques to enable AI-driven personalized care, behavioral analysis, and non-adherence detection.
Key Responsibilities- NLP Pipeline Development: Design and build NLP pipelines to extract symptoms, conditions, behaviors, and clinical context from unstructured data.
- Model Fine-Tuning: Fine-tune and deploy state-of-the-art models like ClinicalBERT, BioBERT, or BlueBERT to improve accuracy and efficiency.
- Rule-Based Implementations: Implement sectionizers, negation detection, and temporal classifiers using tools like MedSpaCy to enhance model performance.
- Hybrid Model Development: Contribute to hybrid models that combine unstructured and structured patient data to provide a comprehensive understanding of patient needs.
- Care Intervention Generation: Support the generation of personalized care interventions based on AI-driven insights.
- Collaboration and Compliance: Collaborate with ML engineers, clinical analysts, and developers while ensuring compliance with healthcare standards (HIPAA).
- 3+ years of experience in NLP/ML.
- Hands-on experience with transformers and fine-tuning pre-trained models.
- Strong programming background in Python.
- Experience working with PyTorch/TensorFlow.
- Experience working with libraries like spaCy and Hugging Face Transformers.
- Understanding of context detection, classification, and named entity recognition.
- Deployment experience in Azure, AWS, or GCP.
- Opportunity to work on cutting-edge AI projects in healthcare.
- Collaborative team environment with experienced professionals.
- Continuous learning and professional growth opportunities.
We are a leading healthcare technology company dedicated to improving patient outcomes through innovative AI solutions.
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