AI Applied Scientist

Verily Life Sciences LLC; Mountain View, Northern (CA, KY); Hybrid; USD 219,000 - 246,000; Full time

Job summary

Verily Health in Mountain View, CA is seeking an AI Applied Scientist to design scalable pipelines for EHR and claims data and advance foundational healthcare models and multi-agent architectures.

You will apply LLMs and ML to extract clinical meaning from unstructured text, grounding autonomous care agents in real-world datasets and supporting decision tools. Collaborate with cross-functional teams to drive healthcare transformation.

Qualifications

• Master's degree in a quantitative discipline (e.g., Data Sciences, Computer Science, Biomedical Informatics, Statistics, Applied Mathematics, or equivalent practical experience).
• Minimum of 3 years of industry experience applying advanced machine learning, NLP, and generative AI techniques to clinical or healthcare datasets.
• Direct experience working with and curating real-world data (such as EHRs or medical claims) with understanding of unstructured medical text.
• Strong proficiency in Python and libraries such as PyTorch or TensorFlow.

Responsibilities

• Design, develop, and deploy advanced generative AI workflows and multi-agent conversational architectures to power personalized user interactions and automated symptom triage.
• Implement, build on, and augment existing LLM/NLP tools to automate the abstraction of high-priority clinical variables from unstructured medical text.
• Develop automated evaluation pipelines and 'LLM-as-a-judge' rubrics to benchmark agent safety, accuracy, factuality, and compliance across model updates.
• Handle real-world data challenges from clinical and remote settings with privacy preservation and rigorous validation before production releases.
• Communicate highly technical results clearly via presentations and well-structured reports to technical and non-technical audiences.

Skills

Advanced ML/NLP

Clinical data handling

Communication of technical results

Education

Master's degree in a quantitative discipline

Tools

Python

PyTorch

TensorFlow

LangGraph

NVIDIA NeMo

Parabricks

FHIR

OMOP

SNOMED-CT

LOINC

RxNorm

ICD-10

Job description

Who We Are

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.

Description

As an AI Applied Scientist, you will occupy a unique, highly impactful position that sits at the intersection of our real-world data (RWD) curation mission and our cutting-edge AI Agent development. In this role, you will be responsible for a balanced blend of designing scalable pipelines to curate Electronic Health Records (EHR) and claims data, and conducting advanced research into foundational healthcare models and intelligent multi-agent conversational architectures. You will apply frontier Large Language Models (LLMs) and advanced machine learning techniques to extract deep clinical meaning from messy, unstructured medical text, turning fragmented healthcare data into trustworthy, analysis-ready longitudinal datasets. Your work will directly ground our autonomous care agents and clinical decision support tools in robust, real-world clinical datasets, driving the next generation of healthcare transformation.

Responsibilities

• Design, develop, and deploy advanced generative AI workflows and multi-agent conversational architectures (e.g., using LangGraph) to power personalized user interactions and automated symptom triage.


• Implement, build on, and augment existing LLM/NLP tools to automate the abstraction of high-priority clinical variables and derived features from unstructured medical text, maximizing data completeness and accuracy.


• Develop automated evaluation pipelines and \"LLM-as-a-judge\" grading rubrics to continuously benchmark agent safety, accuracy, factuality, and compliance across model updates.


• And enabling self-optimization cycles.


• Handle real-world data challenges from clinical and remote settings, ensuring absolute safe data boundaries, privacy preservation, and rigorous technical validation before production releases.


• Communicate highly technical results, methods, and evaluation frameworks clearly via presentations and well-structured reports to both technical and non-technical cross-functional audiences.

Minimum Qualifications

• Master's degree in a quantitative discipline (e.g., Data Sciences, Computer Science, Biomedical Informatics, Statistics, Applied Mathematics, or equivalent practical experience).


• Minimum of 3 years of industry experience applying advanced machine learning, NLP, and generative AI techniques (supervised/unsupervised learning, prompt engineering, agentic workflows) to clinical or healthcare datasets.


• Direct experience working with and curating real-world data (such as EHRs or medical claims), with a deep understanding of the complexities and limitations of unstructured medical text.


• Strong proficiency in Python and standard scientific computing/deep learning libraries (e.g., PyTorch, TensorFlow).

Preferred Qualifications

• PhD degree in a quantitative discipline (e.g., Computer Science, Biomedical Informatics, Machine Learning, or related field).


• Familiarity with advanced agent orchestration frameworks (e.g., LangGraph) and foundation model pre-training stacks (e.g., NVIDIA NeMo, Parabricks).


• Familiarity with standard medical terminologies, vocabularies, and ontologies (e.g., SNOMED-CT, LOINC, RxNorm, ICD-10) and healthcare data models (FHIR, OMOP).


• Experience working closely with clinical subject matter experts to establish ground truth benchmarks and adjudicate complex data abstraction guidelines.


• Strong track record of scientific excellence, including peer-reviewed publications or submitted patents in healthcare AI/ML.

Salary and Benefits

The US base salary range for this full-time position is $219,000 - $246,000 + 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, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

This role is eligible for Verily-sponsored immigration support.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Equal Opportunity & Diversity

Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Company Culture

Build What's Vital. At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology-united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create an environment where all Veeps feel included, feel a sense of belonging, and have opportunities to grow.