Data Scientist - Digital Measures at Verily

San Bruno, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Advanced degree in a quantitative discipline (e.g., data science, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience
5+ years of experience developing and applying advanced machine learning and AI techniques to clinical, biomedical, or similarly complex data
Strong proficiency in Python and experience with modern ML frameworks and Git-based workflows
Demonstrated ability to design and implement novel algorithms or adapt research methods for practical applications
Excellent written and verbal communication skills, with a proactive, collaborative approach to problem-solving
Preferred Qualifications
Familiarity with wearable and smart sensing technologies, algorithms, and interpretation methods
Practical experience in signal processing working with dense time series data types to provide insights from longitudinal datasets
Experience collaborating with clinical research professionals or other domain experts
Exposure to software engineering practices and experience contributing to production systems
Strong curiosity and adaptability, with a demonstrated ability to learn new domains quickly

Responsibilities

Design and implement AI/ML models to extract and apply insights from digital health data
Translate research into production-ready solutions that advance health and wellbeing
Collaborate with clinical, product, and engineering teams to deliver practical, integrated tools
Communicate complex technical concepts effectively to diverse audiences
Stay current with AI/ML advancements and foster an inclusive, collaborative team culture

Skills

Key technologies and capabilities for this role

AIMLPythonsupervised learningunsupervised learningdata sciencealgorithmsdigital health datawearable devicessensorssignal processingfeature engineeringmodel deploymentscalable systems

Questions & Answers

Common questions about this position

What qualifications are required for the Data Scientist role?

Candidates need an advanced degree in a quantitative discipline like data science, statistics, or computer science, or equivalent experience, plus 5+ years applying advanced ML/AI to clinical or biomedical data, strong Python proficiency with ML frameworks and Git, ability to design novel algorithms, and excellent communication skills.

What are the preferred qualifications for this position?

Preferred qualifications include familiarity with wearable and smart sensing technologies, algorithms, and interpretation methods, as well as practical experience in signal processing for dense time series data.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does Verily's team culture emphasize?

The role involves fostering an inclusive, collaborative team culture while staying current with AI/ML advancements.

Verily

Comprehensive healthcare platform

About Verily

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. Verily is focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward.

N/AHeadquarters

2015Year Founded

N/ACompany Stage

1,001-5,000Employees