Lead Healthcare AI Research Scientist (Remote)

Neurex AI; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Neurex AI in New Jersey or remote is seeking a leader to drive applied research in healthcare AI, translating findings into systems used in clinical and operational settings.

You will design experiments, evaluate model performance in healthcare contexts, and develop prototypes and benchmarks to inform product development. Collaboration with engineering and clinical experts is essential for safe deployment and publication.

Qualifications

• PhD or equivalent experience in machine learning, NLP, or related field.
• Strong publication record in ML, NLP, or clinical informatics.
• Experience translating research into production systems.
• Knowledge of healthcare, clinical workflows, or medical informatics.
• Clear communication across research and engineering teams, with a focus on ownership and execution.

Responsibilities

• Set research priorities for clinical AI and healthcare machine learning applications.
• Design experiments and evaluation frameworks to assess model performance in healthcare contexts.
• Develop research prototypes, benchmarks, and validation approaches that can inform product development.
• Work with engineering to move promising methods into production systems.
• Consult clinical advisors on whether model outputs meet relevant healthcare standards.
• Publish findings and contribute to the clinical AI research community.

Skills

PhD in ML/NLP

Publications track record

Production deployment experience

Healthcare domain knowledge

Cross-functional communication

Education

PhD in machine learning or related field

Equivalent research experience

Job description

Neurex AI in New Jersey or remote is seeking a leader to drive applied research in healthcare AI, translating findings into systems used in clinical and operational settings.

You will design experiments, evaluate model performance in healthcare contexts, and develop prototypes and benchmarks to inform product development. Collaboration with engineering and clinical experts is essential for safe deployment and publication.