Applied Scientist, Healthcare Optimization & Dispatch

Sprinter Health; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Pre-IPO equity

Health plans paid for you and depend

Flexible PTO

401(k) match

Learning stipend

Free daily lunch

Job summary

Sprinter Health in San Francisco is seeking an Applied Scientist to transform complex logistics problems into optimization models and decision systems that match clinicians to patients efficiently. You will design models considering drive times, appointment windows, and clinical constraints; determine staffing needs and visit durations; and push end-to-end solutions from whiteboard to production.

This role blends research and engineering with cross-functional partnerships across operations,

Qualifications

• Strong foundations in operations research or optimization: modeling, algorithms, experimental design, and honest evaluation.
• Fluency with Python and SQL, and the ability to run experiments end to end.
• Experience shipping optimization or decision systems that reached production with real-world impact.
• Hands-on experience with supply-and-demand matching in marketplaces, dispatch, or field-operations settings.
• Ability to turn ambiguous problems into well-posed optimization or forecasting tasks.

Responsibilities

• Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation tasks.
• Build strong baselines and improve on them efficiently, adding complexity only when value justifies it.
• Develop solutions across operations research, optimization, and machine learning, choosing the right tool for the problem.
• Run careful analyses and iterate toward decisions that improve real operational outcomes—cost per visit, clinician utilization, patient access, and visits completed.

Skills

Python

SQL

Optimization

Operations Research

Forecasting

Machine Learning

Productionization

Cross-functional collaboration

Experiment design

Education

MS or PhD in operations research or related quantitative field

Tools

Claude Code

Cursor

SciPy/ML libraries

Job description

Sprinter Health in San Francisco is seeking an Applied Scientist to transform complex logistics problems into optimization models and decision systems that match clinicians to patients efficiently. You will design models considering drive times, appointment windows, and clinical constraints; determine staffing needs and visit durations; and push end-to-end solutions from whiteboard to production.

This role blends research and engineering with cross-functional partnerships across operations,