Principal Applied Scientist

About Solventum

Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges.

Job Description

Principal Applied Scientist

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

The Impact You’ll Make in this Role

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. In this role, 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.

Key Responsibilities

Research & Innovation

• 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.

Healthcare-Focused AI Development

• 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.

Technical Leadership

• 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.

Operational & Compliance Excellence

• 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.

Required Qualifications

• 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, TensorFlow, Hugging Face, LangChain, RAG systems).

Preferred Skills

• 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.

Work Location

• US Remote

Travel

• May include up to 10% domestic

Relocation Assistance

• Is not authorized

Visa Sponsorship

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