AI Research Scientist

The role

You will develop and own a research agenda to advance AI in healthcare. This includes developing novel architectures, training techniques, and evaluation frameworks that graduate into production systems.

What you will do

• Develop and own a research agenda aligned with Sprinter's long-term AI and company strategy.
• Identify open problems and design experiments.
• Develop novel methods, architectures, training approaches, evaluation techniques, or validation frameworks.
• Produce publications, patents, and peer-reviewed validation studies.
• Translate research into methods and tools for production.
• Raise the scientific bar across applied AI and engineering teams.
• Review methodologies, evaluation approaches, and experimental designs.
• Advise teams on technical decisions regarding model performance, reliability, and validation.
• Mentor applied researchers and engineers on ML research practices.
• Maintain an external research presence through publications and talks.

Required qualifications

• Ability to produce novel research and design rigorous experiments.
• Deep ML foundations in at least one area such as LLMs, agents, uncertainty, causality, multimodal learning, or clinical AI.
• Strong engineering ability to run experiments at scale.
• Strong research taste.
• Comfort working in open-ended, ambiguous environments.
• Interest in clinical collaboration and applied healthcare impact.
• Understanding of healthcare validation standards, including external validation, prospective evaluation, data governance, and real-world deployment constraints.

Nice to have

• First-author publications at top technical venues such as NeurIPS, ICML, ICLR, ACL, or related conferences.
• Publications in leading clinical AI or healthcare venues such as Nature Medicine, NEJM AI, npj Digital Medicine, CHIL, MLHC, or similar.
• Experience in academia, industry research labs, or research-heavy teams at AI-native healthcare companies.
• Experience collaborating with clinicians, clinical researchers, or healthcare operators.
• Familiarity with IRB processes, clinical data governance, or healthcare model validation.
• Dual literacy across machine learning and clinical collaboration.

Benefits

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO
• 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent
• 8 weeks for all other parents
• HSA + FSA contributions
• Life insurance
• Short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

Before you apply

• Recruiter Screen
• Hiring Manager Introduction
• Hands-on-Keys Technical Assessment
• Onsite Interview: Systems Design / Technical Case Study + Research Presentation + Behavioral Interview + Lunch with the Team
• References

About the company

Sprinter Health aims to reimagine how people access care by bringing it directly to their homes. The company uses technologies to deliver care where people are, having supported more than 2 million patients across 22 states.