
Data Scientist
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
- Work at the forefront of healthcare NLP
- Design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text
- Develop models grounded in transformers, generative AI, and research-oriented neural architectures
- Collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams
- Explore new modeling approaches
- Optimize training pipelines
- 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 is a plus
- 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 is a plus
- Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices
- Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks is a plus
- Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks is a plus
- 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
natural language processingnatural language understandingdeep learningtransformersgenerative AIPythonstatisticsexploratory data analysisrepresentation learningattention mechanisms
Soft Skills
self-organizationcommunicationclarityconfidence
Certifications
Master's degreePhDBachelor’s degree