> Markdown version of [/jobs/ext/531695-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/531695-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Solventum Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $124,000.0 - $170,500.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Content Analysis, Continuous Integration, Extract Transform Load (ETL), Distributed Data Store, Github, Python (Programming Language), Machine Learning, Performance Tuning, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Pyspark, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Text Analysis, GPT, Natural Language Understanding - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=16b0613813de30cc ## About the Role Do you have experience in Statistics research?, Do you have a Master's degree?, * 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 Additional qualifications that could help you succeed even further in this role include: * 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. ## Description 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. As an Data Scientist you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: How you will make an impact * 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., Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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