AI Applied Scientist, Clinical Trials Protocol Digitization

AI Applied Scientist, Clinical Trials Protocol Digitization page is loaded## AI Applied Scientist, Clinical Trials Protocol Digitization remote type:
Hybrid locations:
Mountain View, California time type:
Full time posted on:
Posted Yesterday job requisition :
REQ-458#
** Who We Are
** Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence.

Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.#
** Description
* * As an AI Applied Scientist on our Clinical Trial Protocol Digitization team, you will help transform how clinical trials are designed and managed. Verily’s Viewpoint Site CTMS platform supports better trial management, oversight, and data integration—streamlining processes to reduce costs, accelerate timelines, and ultimately bring treatments to patients  this role, you will design novel algorithms, conduct applied research, and translate findings into practical AI solutions.

You will focus on extracting knowledge from unstructured protocols and related medical data, building intelligent tooling that integrates seamlessly into real-world clinical workflows.

Success in this role requires both scientific creativity and pragmatic engineering: you’ll advance the state of the art in NLP/LLMs while ensuring models are reliable, scalable, and user-friendly for clinical and product stakeholders.#
** 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.#
** Qualifications
* * 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.

This role is eligible for Verily-sponsored immigration support.

The US base salary range for this full-time position is $119,000 - $169,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range,…