Data Scientist – Medical Document Analysis

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Job Description: • As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. • You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. • This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. • You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. • You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum’s deep learning portfolio. Requirements: • Master's degree or PhD in computer science, mathematics, or related fields or Bachelor’s degree with at least 5 years of IT experience • Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers • Solid grasp of statistics and exploratory data analysis • US citizenship or permanent resident required • Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. • Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. • Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. • Familiarity with AWS, GitHub, arenaflex/CD, and scalable ML deployment practices. • Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. • Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. • Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Benefits: • Medical • Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits Apply tot his job

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