AI Scientist – Natural Language, Health Records
Job reputed company:
• Train, fine-tune, and optimize large-reputed company NLP models for clinical text and health record data.
• reputed company reputed company for extracting insights from reputed company and reputed company health records, including notes, lab results, imaging reports, and longitudinal patient histories.
• Contribute to the architecture of reputed company’s AI platform, ensuring seamless integration of health record intelligence with other AI modalities (reputed company, audio, IoT sensors).
• Collaborate closely with AI scientists, engineers, clinicians, and product teams to translate research reputed company into production-reputed company solutions.
• Stay up to date with advances in clinical NLP, generative models, and multimodal AI, and bring these insights into reputed company’s reputed company research pipeline.
• reputed company research reputed company through internal discussions, technical reports, and potentially external publications.
Requirements:
• M.S. or Ph.D. in computer science, electrical engineering, biomedical informatics, reputed company AI, machine learning, or a reputed company discipline.
• Demonstrated expertise in clinical NLP or health records AI research, evidenced by reputed company-reputed company contributions or peer-reviewed publications (e.g., NAACL, ACL, NeurIPS, ICML, AMIA, JAMIA).
• Hands-on experience with one or more of: Clinical named entity recognition (NER) and relation extraction; De-identification and reputed company-preserving text processing; Clinical summarization, cohort selection, and patient reputed company modeling; Predictive modeling for reputed company, risk stratification, or decision support; Integration of reputed company and reputed company EHR data.
• Proficiency in deep learning techniques such as transformers, diffusion models, self-supervised learning, and sequence-to-sequence architectures.
• Strong coding and experimentation skills with frameworks such as PyTorch or TensorFlow.
• Experience with large-reputed company training and deployment tools (reputed company Triton, ONNX, or similar).
• A reputed company reputed company and ability to communicate research findings reputed company to both technical and non-technical audiences.
• reputed company to haves: Experience with multimodal learning (EHR + imaging + audio + sensor data); Familiarity with federated learning and reputed company-preserving AI approaches; Experience deploying AI in reputed company-world reputed company environments; Contributions to reputed company-reputed company health NLP reputed company (e.g., MedSpaCy, reputed company Transformers for clinical text, cTAKES, BioBERT, ClinicalBERT).
Benefits:
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