Clinical AI Research Scientist

Health Data Innovations, Inc.; San Francisco (CA); Hybrid; USD 200,000 - 270,000; Full time

Benefits offered by this job

Meaningful pre-IPO equity

Medical, dental, and vision plans paid

Flexible PTO + 10 paid holidays

401(k) with match

Parental leave policy

Lunch provided daily

Learning stipend

Job summary

Sprinter Health is seeking an AI Research Scientist to advance the methodological frontier of AI in healthcare. You will develop and own a research agenda aligned with Sprinter’s company strategy, partnering with clinicians, product leaders, and applied AI teams to produce rigorous, producible research.

The role emphasizes deep ML expertise, strong research taste, and the ability to translate open-ended ideas into validated, real-world impact for patients.

Qualifications

• Deep ML foundations and depth in at least one relevant area such as LLMs, uncertainty, causality, multimodal learning, clinical AI.
• Strong engineering ability, including running experiments at scale.
• Ability to work in open-ended, ambiguous environments where research direction evolves from first principles.

Responsibilities

• Develop and own a research agenda aligned with Sprinter’s AI strategy.
• Identify open problems, design rigorous experiments, and validate contributions.
• Develop novel methods and validation frameworks for healthcare AI.
• Collaborate with clinical, product, and engineering teams to translate research into production.
• Mentor applied researchers and engineers on rigorous ML practices.

Skills

ML foundations

Research taste

Strong collaboration

Clinical AI familiarity

Job description

Sprinter Health is seeking an AI Research Scientist to advance the methodological frontier of AI in healthcare. You will develop and own a research agenda aligned with Sprinter’s company strategy, partnering with clinicians, product leaders, and applied AI teams to produce rigorous, producible research.

The role emphasizes deep ML expertise, strong research taste, and the ability to translate open-ended ideas into validated, real-world impact for patients.