Staff Quantitative Scientist

Jobtailor; California (MO); On-site; USD 190,000 - 240,000; Full time

Job summary

Verily is seeking a Senior Health Data Scientist to design and analyze health studies using statistical and epidemiological methods, supporting decision-making.

You will oversee research projects from design to dissemination, ensure quality of analysis plans, data, code and outputs, and collaborate with Care Delivery, Product, and Commercial teams to demonstrate the portfolio’s effectiveness.

Qualifications

• Master’s or higher in a health-related quantitative 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.
• Experience with observational healthcare data (claims/EHR).
• Experience with advanced statistical or machine learning methods.
• Experience with products/digital health solutions is a plus.
• Strong publication record and study design experience.
• Must be eligible to work in the United States without sponsorship.

Responsibilities

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

Skills

Statistical Analysis

Biostatistics

Epidemiology

Data Science

Proficiency in Python or R

Machine Learning Methods

Study Design

Observational Healthcare Data

KPI Development

Education

Master’s in Health Economics, Biostatistics, Epidemiology, Data Science, or related field

Tools

Python

R

Job description

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

Requirements

• 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
• Experience with observational healthcare data, including claims or electronic health records
• Experience with advanced statistical or machine learning methods
• 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

Core Competencies

Demonstrates expertise in statistical analysis and epidemiological methods to design and evaluate health studies, ensuring quality and effectiveness in healthcare decision‑making. Proficient in Python or R for statistical programming and experienced in analyzing observational healthcare data.

Highest-signal resume keywords

• Master’s In Health Economics
• Statistical Analysis
• Biostatistics
• Proficiency In Python
• Experience With Health Economic Methods

ATS Optimization Keywords

Hard Skills

• Statistical Analysis
• Epidemiological Methods
• Data Science
• Advanced Statistical Methods
• Machine Learning Methods
• Study Design
• Health Economic Methods
• Observational Healthcare Data
• Clinical Outcomes Analysis
• KPI Development

Industry Keywords

• Healthcare
• Digital Health Solutions
• Claims Data
• Electronic Health Records
• Cross-Functional Collaboration
• Evidence Generation
• Service Delivery Models
• Publication Record
• Performance Guarantees
• AI Impact Evaluation