Data Scientist
Zocdoc · New York, NY · US
Health Tech
On-site
Not yet analysed
Demand82
Career growth76
Healthcare fit58
Remote potential30
5-year outlook
Data science roles in health tech generally have solid long-term earning potential, but compensation will depend on location, level, and technical depth. Clinicians transitioning in should expect to start lower than experienced data scientists unless they have a strong quantitative portfolio.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
–
Date found
2026-10-30
Intelligence details
Flexible work details
- Eligible countries
- United States
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering for clinicians with genuine data science, analytics, or informatics experience who want to work on healthcare access at a consumer health-tech company. Clinicians without SQL/Python/R and experimentation experience will likely find the technical bar too high.
Who should apply
Physicians, nurses, pharmacists, or allied health professionals with prior analytics, health informatics, clinical research data, quality improvement, or business intelligence experience; healthcare graduates with strong SQL/Python/R portfolios and healthcare domain knowledge.
CV angle
Frame real clinical, quality, research, or operations experience around measurable data work: datasets analyzed, dashboards built, metrics tracked, experiments or evaluations designed, and stakeholders advised. Emphasize healthcare access, care navigation, or marketplace context where real, and show reproducible SQL/Python/R projects rather than claiming non-existent data science titles.
Skills to highlight
- SQL
- Python and/or R
- Tableau or Looker
- experimental design and causal analysis
- data cleaning and ETL
- dashboarding and data visualization
- stakeholder communication
- healthcare domain knowledge
Role summary
A mid-level data scientist role at Zocdoc focused on analyzing large healthcare marketplace datasets, running experiments and causal analyses, building dashboards, and partnering with product and engineering teams to improve patient access to care.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.