Staff Quantitative Scientist - Health Analytics & Outcomes

Verily

San Bruno (CA)

On-site

USD 130,000 - 196,000

Full time

14 days+

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Benefits offered by this job

Equity compensation

Performance bonus

Benefits package

Job summary

Verily Health is seeking a Staff Quantitative Scientist to shape healthcare analytics by applying advanced statistical and computational methods to real-world health data. You will collaborate with cross-functional teams to design studies, analyze outcomes, and translate findings into actionable insights, with emphasis on health economics, epidemiology, and AI-driven health solutions.

The role is based in the United States (California/San Bruno) with competitive base salary, bonus and equity in

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, employing scientific rigor by ensuring quality of statistical analysis plans, data, analytical code, and output
Work with Care Delivery, Product, and Commercial teams to demonstrate effectiveness of Verily’s portfolio and develop metrics that enable strategic tracking 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.