Principal Applied Scientist

Principal Applied Scientist

3M Health Care is now Solventum.

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for customers’ toughest challenges, we pioneer game‑changing innovations at the intersection of health, materials and data science. People and their wellbeing are at the heart of every scientific advancement we pursue.

As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high‑impact technical innovation in HIS applications. You will be a hands‑on research and development leader—driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission‑critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.

• Design, prototype, and evaluate novel AI models for autonomous, agent‑based systems in healthcare workflows.
• Advance state‑of‑the‑art NLU for clinical, operational, and administrative healthcare text.
• Explore and implement new capabilities in reasoning, decision‑making, and multi‑modal understanding.

• Adapt and fine‑tune large language models to handle healthcare‑specific language, regulatory requirements, and ethical considerations.
• Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
• Contribute to domain‑specific model architectures that improve clinical decision‑making, revenue cycle management, and patient engagement.

• Serve as the primary technical authority on Agentic and Generative AI within project teams.
• Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
• Drive internal knowledge‑sharing on emerging AI trends, frameworks, and best practices.

• Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
• Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
• Partner with engineering to move research prototypes into production environments.

• Master’s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
• OR PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models.
• Experience in Python, R, and modern ML libraries.
• Experience with GenAI, LLMs, and transformer architectures.
• Experience with AI development tools and frameworks (PyTorch, Tensor Flow, Hugging Face, Lang Chain, RAG systems).

• Multi‑modal AI research experience (text, image, structured data).
• Knowledge graph integration and symbolic reasoning expertise.
• Proven ability to take AI research from concept to production.
• Hands‑on experience with autonomous AI agents and reasoning systems.
• Strong track record applying AI to healthcare or life sciences use cases.
• Familiarity with cloud platforms (AWS) and MLOps practices.

US Remote

May include up to 10% domestic.

Is not authorized.

Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status).

The expected compensation range for this position is $163,200 – $224,400, which includes base pay plus variable incentive pay, if eligible. Additional benefits may include Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits.

New employees hired for this position will be required to travel to a designated company location for on‑site onboarding during their…