TL;DR

Senior Data Scientist - NLP & Generative AI (AI Engineering): Designing, implementing, and evaluating advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision-making with an accent on transformers, generative AI, and research-oriented neural architectures. Focus on optimizing training pipelines, exploring new modeling approaches, and contributing to the long-term direction of Solventum’s deep learning portfolio.

Location: Remote (United States)

Salary: $106,000 - $145,750

Company

Solventum is a healthcare company creating breakthrough solutions at the intersection of health, material, and data science to improve lives.

What you will do

  • Scope and design NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows.
  • Translate business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable.
  • Process, align, and enrich diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems.
  • Develop and evaluate deep learning models, including transformer-based architectures and neural architectures for capturing linguistic patterns in clinical text.
  • Deploy models into Solventum’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems.
  • Stay current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum’s deep learning initiatives.

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

Nice to have

  • Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures.
  • 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.

Culture & Benefits

  • Programs to help you live your best life – both physically and financially.
  • Opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation.
  • Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy for on-site onboarding.