Senior Quantitative Scientist, Healthcare Analytics

Verily Health

Dallas (TX)

On-site

USD 130,000 - 196,000

Full time

14 days+

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Benefits offered by this job

Bonus
Equity
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Job summary

Verily Health is seeking a Staff Quantitative Scientist to shape the future of healthcare analytics, applying advanced statistical and computational techniques to real-world health data and supporting AI-enabled precision health solutions. This role focuses on personalizing patient care, health economics methods, and innovative study designs.

You will collaborate with Care Delivery, Product, and Commercial teams to translate evidence into actionable metrics, oversee studies from design through

Qualifications

  • Master’s in Health Economics, Biostatistics, Epidemiology, Data Science, or related field.
  • 5+ years in statistical analysis or biostatistics within healthcare.
  • Proficiency in Python or R for statistical programming.
  • Experience with health economic and epidemiological methods and study designs.

Responsibilities

  • Design and analyze health studies using statistical and epidemiological methods to support decision-making.
  • Oversee research projects from design to dissemination, ensuring quality of statistical analysis plans, data, analytical code, and output.
  • Collaborate with Care Delivery, Product, and Commercial teams to demonstrate effectiveness of Verily’s portfolio and develop metrics based on evidence generation.
  • Design and carry out analyses of clinical outcomes, health care costs, and utilization, including KPIs and performance guarantees.
  • Work with cross functional teams to test service delivery models and evaluate the impact of new product features and AI on engagement and clinical outcomes.

Skills

Master’s in Health Economics, Biostat/
5+ years in stats/biostatistics
Python or R
Health econ methods

Education

Master’s in health economics or related field
PhD in Health Economics/Health services/related

Tools

Python
R

Job description

Verily Health is seeking a Staff Quantitative Scientist to shape the future of healthcare analytics, applying advanced statistical and computational techniques to real-world health data and supporting AI-enabled precision health solutions. This role focuses on personalizing patient care, health economics methods, and innovative study designs.

You will collaborate with Care Delivery, Product, and Commercial teams to translate evidence into actionable metrics, oversee studies from design through

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