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 $125M to date 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.

If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity.

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

Salary

$180,000 - $230,000 a year

Equal Opportunity

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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