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 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 Lead the development and execution of AI and data strategies that advance Verily’s mission to transform healthcare through data-driven innovation. Drive flagship AI and data science initiatives by designing scalable data architectures, building robust pipelines, and developing advanced machine learning and LLM-based solutions using complex clinical and real-world healthcare data. Partner cross-functionally with technical and business leaders to identify opportunities, deliver high-impact solutions, and enable data-informed decision-making across the organization. Mentor and inspire data scientists and engineers, fostering technical excellence, continuous learning, and best practices in AI, machine learning, and software development. Communicate complex analytical insights and technical outcomes effectively to both technical and non-technical stakeholders, translating data into actionable business and healthcare impact. Qualifications Minimum Qualifications Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Applied Mathematics, Biomedical Informatics, Biomedical Engineering) or equivalent practical experience. 7+ years of experience applying advanced machine learning and AI techniques — including supervised/unsupervised learning, NLP, and LLMs — to clinical or digital health applications. Experience working with and curating real-world healthcare data (e.g., EHRs), including structured and unstructured clinical data, as well as direct experience with LLM technologies and prompt optimization. Strong proficiency in Python and experience building scalable data science and machine learning solutions. Preferred Qualifications Ph.D. in a quantitative discipline with specialization in AI, machine learning, or related fields. Deep expertise in Agentic AI, LLMs, prompting, fine-tuning, retrieval-augmented generation (RAG), and transformer-based deep learning frameworks such as TensorFlow or PyTorch. Experience developing and deploying production-grade software and machine learning systems using modern software engineering best practices. Strong knowledge of clinical data, healthcare terminologies, and medical ontologies, with demonstrated success delivering complex cross-functional initiatives involving multiple stakeholders. Creative, methodical problem-solving skills with the ability to navigate ambiguity, develop hypotheses, evaluate options, and drive informed decisions. This role is eligible for Verily-sponsored immigration support. The Canada base salary range for this full-time position is CAD 184,000 - 206,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Verily 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 have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. AI and Automated Decision-Making Notice We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example, your résumé or answers to application questions) to support our hiring team’s review. If you have questions about our use of AI in recruitment or require an accommodation, please contact pact@verily.com. 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. If this sounds exciting to you, we would love to hear from you. You can find out more about our company culture on our LinkedIn Company Page.

Staff AI Data Scientist.

more at Verily.

Customer Success Manager, Workbench

Android Software Engineer III, Verily Me

AI Applied Scientist

similar roles.

People Analytics Manager (m/f/d)

Manager Data Engineering-ML Ops

Lead Data Engineer

Senior Research Statistician

Senior Project Manager - AI and Data Transformation

Delivery Associate