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Tech Stack
Tools & technologiesAWSCloudETLPySparkPythonPyTorchSpark
About the role
Key responsibilities & impact- You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making
- Collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems
- Explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum’s deep learning portfolio
- 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
Requirements
What you’ll need- 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
Comp & perks- Health insurance
- Onboarding Requirement: 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
- Competitive pay and benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learningnatural language understandingNLPtransformer-based architecturesCNNsattention mechanismsstatisticsexploratory data analysisETL
Soft Skills
self-organizationcommunicationclarityconfidence
Certifications
Master's degreePhDBachelor’s degree