Hiring: Staff Quantitative Scientist Company: Verily Health Location: Raleigh, NC Job Posted Time: 2026-09-16 17:42:24 Employment Type: Full-time Target Skills & Keywords : Electronic Health Records, Machine Learning, Python About the job Experience: •5+ years in statistical analysis or biostatistics within healthcare. Required Skills: •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 •Interface directly 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. •Interface directly with cross functional teams to test service delivery models, and evaluate the impact of new product features and AI on engagement and clinical outcomes. Qualifications: •Master’s in Health Economics, Biostatistics, Epidemiology, Data Science, or related field •Proficiency in Python or R for statistical programming. •PhD in Health Economics, Health Services Research, Biostatistics, Epidemiology, Data Science, or related field •Previous experience working with products and/or digital health solutions. •Strong publication record and experience in study design. •Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. •Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Compensation: •$130,000 - $196,000 / year •The US base salary range for this full-time position is $130,000 - $196,000 + bonus + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!