AI Applied Scientist, Clinical Trials Protocol Digitization at Verily

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Clinical TrialsIndustries

Requirements

Minimum Qualifications
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 medical terminologies, ontologies, and standards relevant to clinical trials (e.g., FHIR)
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 develop machine learning models and AI algorithms to extract, structure, and apply information from clinical trial protocols and related medical data
Translate research findings into production-ready solutions that enhance trial digitization and decision-making
Partner closely with clinical experts, product managers, and engineers to ensure solutions meet real-world needs and integrate with existing workflows
Communicate technical concepts and results clearly, adapting style and depth for technical and non-technical audiences
Stay current with advancements in AI/ML research and identify opportunities to apply them within clinical trial contexts
Contribute to an inclusive, collaborative team environment where diverse perspectives are valued and leveraged

Skills

Key technologies and capabilities for this role

NLPLLMsMachine LearningAI AlgorithmsInformation ExtractionClinical Data ProcessingScalable ModelsProduction ML

Questions & Answers

Common questions about this position

What qualifications are required for the AI Applied Scientist role?

Candidates need an advanced degree in a quantitative discipline like data science, statistics, biomedical informatics, computer science, or applied mathematics (or equivalent experience), plus 5+ years of experience developing and applying advanced ML/AI techniques to clinical, biomedical, or complex data.

What technical skills are needed for this position?

Strong proficiency in Python is required, along with experience in modern ML frameworks and Git-based workflows, and the ability to design and implement novel algorithms.

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 kind of team environment can I expect at Verily?

The role involves contributing to an inclusive, collaborative team environment where diverse perspectives are valued and leveraged, with close partnerships with clinical experts, product managers, and engineers.

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