Sprinter Health
Clinical Data - Senior/ Staff Data Scientist
Sprinter Health, San Francisco, California, United States, 94199
Clinical Data - Senior/ Staff Data Scientist
About Sprinter Health
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last‑mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125 M to date, with investors like a16z, General Catalyst, GV, and Accel and enjoy multi‑year runway.
Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact.
About The Role We’re hiring a Senior / Staff Data Scientist to tackle high‑impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real‑world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes.
Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work‑life balance and understand that there will be times where flexibility is needed.
What You Will Do
Explore clinical, operational, and patient engagement data to surface actionable insights
Analyze routing, capacity planning, and supply‑demand dynamics across regions
Identify drivers of preventive care engagement and patient follow‑through
Predict cancellations, risk, and future care needs using behavioral and clinical signals
Design and evaluate A/B experiments across product, growth, and operations
Support internal teams with dashboards, analytics, and ad‑hoc decisions
Help shape the Data function’s standards, tooling, and processes as an early leader
What You Have Done
5+ years in data science, advanced analytics, or applied data modeling
Worked with large, messy datasets to answer ambiguous, high‑stakes questions
Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar
Written high‑quality SQL across warehouses like BigQuery, Snowflake, or Redshift
Influenced product, ops, or strategy decisions through data insight and storytelling
Presented findings to leadership and collaborated with cross‑functional teams
What Gives You An Edge
Experience with Python, Pandas, Scikit‑learn, or ELK (Elasticsearch + Kibana)
Exposure to GCP data tools like BigQuery, DataFlow, or DataForm
Familiarity with healthcare data (claims, HL7, CCDAs, HIEs)
Experience with logistics, routing, or operational optimization problems
Designed or analyzed growth experiments or user behavior funnels
Communicated insights to C‑level stakeholders or mentored junior talent
Our Tech Stack
Python
SQL
Superset, Looker, Tableau, Grafana
BigQuery, Snowflake, Redshift
Elasticsearch / Kibana
FHIR, HL7, claims data (bonus)
Pandas, Scikit‑learn, DataForm, DataFlow
What We Offer
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, plus short and long‑term disability coverage
Free daily lunch in‑office
Annual learning stipend
$180,000 - $230,000 a year
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.
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At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last‑mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125 M to date, with investors like a16z, General Catalyst, GV, and Accel and enjoy multi‑year runway.
Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact.
About The Role We’re hiring a Senior / Staff Data Scientist to tackle high‑impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real‑world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes.
Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work‑life balance and understand that there will be times where flexibility is needed.
What You Will Do
Explore clinical, operational, and patient engagement data to surface actionable insights
Analyze routing, capacity planning, and supply‑demand dynamics across regions
Identify drivers of preventive care engagement and patient follow‑through
Predict cancellations, risk, and future care needs using behavioral and clinical signals
Design and evaluate A/B experiments across product, growth, and operations
Support internal teams with dashboards, analytics, and ad‑hoc decisions
Help shape the Data function’s standards, tooling, and processes as an early leader
What You Have Done
5+ years in data science, advanced analytics, or applied data modeling
Worked with large, messy datasets to answer ambiguous, high‑stakes questions
Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar
Written high‑quality SQL across warehouses like BigQuery, Snowflake, or Redshift
Influenced product, ops, or strategy decisions through data insight and storytelling
Presented findings to leadership and collaborated with cross‑functional teams
What Gives You An Edge
Experience with Python, Pandas, Scikit‑learn, or ELK (Elasticsearch + Kibana)
Exposure to GCP data tools like BigQuery, DataFlow, or DataForm
Familiarity with healthcare data (claims, HL7, CCDAs, HIEs)
Experience with logistics, routing, or operational optimization problems
Designed or analyzed growth experiments or user behavior funnels
Communicated insights to C‑level stakeholders or mentored junior talent
Our Tech Stack
Python
SQL
Superset, Looker, Tableau, Grafana
BigQuery, Snowflake, Redshift
Elasticsearch / Kibana
FHIR, HL7, claims data (bonus)
Pandas, Scikit‑learn, DataForm, DataFlow
What We Offer
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, plus short and long‑term disability coverage
Free daily lunch in‑office
Annual learning stipend
$180,000 - $230,000 a year
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.
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