Solventum

Data Scientist – Medical Document Analysis

Solventum

full-time

Posted on:

Location Type: Remote

Location: MinnesotaUnited 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