Verana Health
Senior Quantitative Scientist, Implementation
$141K–$177K
New York, United States, San Francisco, California, United States Knoxville, Tennessee, United States, Remote +4 · Remote · Senior · Full-time · Posted Aug 12, 2026
- Location
- New York, United States, San Francisco, California, United States Knoxville, Tennessee, United States, Remote
Knoxville, Tennessee, United States
New York, New York, United States
Remote
San Francisco, California, United States - Experience
- 5+ years of direct experience with healthcare datasets and advanced analytical methodologies.
- Education
- Master’s or Doctorate in Engineering, Computer Science, Math, Statistics, or related quantitative field, or equivalent hands-on experience.
- Visa sponsorship
- Candidates must be legally authorized to work in the United States; no visa sponsorship or OPT/STEM extension support is available.
About the job
Leads implementation of scalable analytic workflows and retrospective EHR studies that generate real-world evidence for commercial life sciences projects.
What you'll do
- Develop and implement scalable analytic workflows and conduct analyses using healthcare data.
- Lead retrospective EHR studies, including statistical analysis planning and algorithm development.
- Set practices for code review, version control, and reproducibility; collaborate across teams and communicate findings.
What they ask for
- Master’s or Doctorate in a quantitative field, or equivalent hands-on experience.
- 5+ years of direct experience with healthcare datasets and advanced analytical methodologies.
- Expertise in R, Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows.
- Demonstrated leadership in technical and analytic workflow optimization.
Nice to have
- Experience supporting life sciences, pharmaceutical, or biotech organizations with analytic services.
- Experience communicating findings to technical and non-technical audiences.
Pay
$141,441 - $176,801 USD (base salary)
Tools
R, Python, PySpark, AWS, Databricks, GitHub
Model-written summary · the original posting is authoritative