AI Applied Scientist

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 and Data Scientist at Verily, you will be supporting our core mission to build advanced data and AI capabilities for Verily's portfolio of products. You will help drive innovation in data-driven healthcare applications by developing and deploying sophisticated models. Your work will involve utilizing cutting-edge techniques to analyze complex datasets, uncover patterns, and build robust, data-driven solutions that address healthcare challenges. You will collaborate with a diverse cross-functional team to build reusable and scalable tools that unlock information from structured and unstructured clinical data. Responsibilities Dive into complex data science projects, identifying opportunities to leverage data for groundbreaking healthcare solutions. Collaborate with a diverse team of experts to conceptualize, develop, and implement AI solutions tailored to a variety of healthcare applications. Apply cutting-edge machine learning algorithms, including Large Language Models (LLMs) and Natural Language Processing (NLP), to unlock insights from large, unstructured medical datasets and inform strategic decisions. Build robust, data-driven solutions that translate complex analysis into practical applications, tackling significant healthcare challenges head-on. Design and build scalable data pipelines that ensure data quality and accessibility, contributing to Verily's core data infrastructure. Stay curious and drive innovation by researching and applying the latest data science principles and exploring new methodologies to enhance our AI capabilities. Qualifications Minimum qualifications Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or equivalent practical experience. 2+ years of experience applying advanced machine learning and AI techniques (e.g., supervised and unsupervised methods, LLMs, NLP) to clinical data. Direct experience working with Large Language Models (LLMs) and familiarity with prompt optimization technologies. Strong proficiency in Python. Preferred Qualifications Experience with LLM models, including prompting, fine-tuning, and retrieval-augmented generation (RAG). Familiarity with software engineering principles and experience deploying algorithms in production environments. Experience developing transformer-based deep learning algorithms using TensorFlow or PyTorch. Familiarity working with clinical subject matter experts and cross-functional teams. This role is eligible for Verily-sponsored immigration support. Verily Life Sciences LLC 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr