Data Scientist – Medical Document Analysis
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, CI/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
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