Solventum is dedicated to improving healthcare options and health outcomes through cutting-edge solutions in health, materials, and data science. The company ai
Senior Data Scientist
Location
Pennsylvania
Posted
12 days ago
Salary
$124K - $170.5K / year
Seniority
Senior
Job Description
Senior Data Scientist
Solventum
• Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. • Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. • Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. • Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. • Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. • Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. • Deploying models into Solventum’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. • Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum’s deep learning initiatives.
Job 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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