Sprinter Health

5 days ago

AI Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Advance the methodological frontier of AI in healthcare by developing and owning a long-term research agenda. Design rigorous experiments, create novel methods, architectures, training and evaluation techniques, and produce peer-reviewed evidence and patents. Raise the scientific bar for applied AI teams through technical leadership, mentoring, and validation-focused guidance. Collaborate closely with clinicians and cross-functional partners to translate research into production-ready methods with meaningful patient impact.

Location: San Francisco, Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and own a research agenda aligned with Sprinter’s long-term AI and company strategy.
•Identify open problems, position them against the literature, and design experiments that isolate meaningful contributions.
•Develop novel methods, architectures, training approaches, evaluation techniques, and validation frameworks.
•Produce publications, patents, and peer-reviewed validation studies, then translate promising research into production methods and tools.
•Raise the scientific bar through methodological review, advising on model performance/reliability/uncertainty/validation, and mentoring applied researchers and engineers.

Pay and Benefits

Salary: USD 160,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveHsaFsaLife InsuranceLearning StipendMeal Allowance

Key Requirements

•Demonstrated ability to produce novel research with rigorous experiments and peer-review-level writing.
•Deep ML foundations with depth in an area such as LLMs, agents, uncertainty, causality, multimodal learning, or clinical AI.
•Strong engineering ability to run your own experiments at scale.
•Ability to work in open-ended, ambiguous environments and shape the research direction from first principles.
•Understanding of healthcare validation standards, including external validation, prospective evaluation, data governance, and deployment constraints.

Experience:AI-native healthcareHealthcare AIClinical collaborationResearch labs

Skills:Research tasteScientific rigorTechnical leadershipMentoringCross-functional collaboration

Tech Stack:LLMsAgentsUncertaintyCausalityMultimodal learningClinical AIMachine learningIRB reviewData governance

Company Brief

Sprinter Health

Operates mobile and home-based primary care services focused on delivering in-home medical visits, chronic care management, and coordinated care for patients who face barriers accessing clinic-based care.

Industry: Healthcare Providers

Website

Loading job details...

Preparing the role view and application actions.

Sprinter Health

5 days ago

AI Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Francisco, Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and own a research agenda aligned with Sprinter’s long-term AI and company strategy.
•Identify open problems, position them against the literature, and design experiments that isolate meaningful contributions.
•Develop novel methods, architectures, training approaches, evaluation techniques, and validation frameworks.
•Produce publications, patents, and peer-reviewed validation studies, then translate promising research into production methods and tools.
•Raise the scientific bar through methodological review, advising on model performance/reliability/uncertainty/validation, and mentoring applied researchers and engineers.

Pay and Benefits

Salary: USD 160,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveHsaFsaLife InsuranceLearning StipendMeal Allowance

Key Requirements

•Demonstrated ability to produce novel research with rigorous experiments and peer-review-level writing.
•Deep ML foundations with depth in an area such as LLMs, agents, uncertainty, causality, multimodal learning, or clinical AI.
•Strong engineering ability to run your own experiments at scale.
•Ability to work in open-ended, ambiguous environments and shape the research direction from first principles.
•Understanding of healthcare validation standards, including external validation, prospective evaluation, data governance, and deployment constraints.

Experience:AI-native healthcareHealthcare AIClinical collaborationResearch labs

Skills:Research tasteScientific rigorTechnical leadershipMentoringCross-functional collaboration

Tech Stack:LLMsAgentsUncertaintyCausalityMultimodal learningClinical AIMachine learningIRB reviewData governance

Company Brief

Sprinter Health

Industry: Healthcare Providers

Website