
Data Scientist – Medical Document Analysis
Solventum
full-time
Posted on:
Location Type: Remote
Location: Minnesota • United States
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Salary
💰 $106,000 - $145,750 per year
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learningnatural language understandingtransformersgenerative AIstatisticsexploratory data analysisrepresentation learningattention mechanismsETL
Soft Skills
self-organizationcommunicationclarityconfidence
Certifications
Master's degreePhD