AI Applied Scientist

Verily; Southwestern Ontario; Hybrid; CAD 139,000 - 157,000; Full time

Job summary

Verily Health is a data platform and technology company focused on AI-enabled precision health. We seek an AI and Data Scientist to build advanced data and AI capabilities, develop models, and deploy data-driven healthcare solutions.

You will work with cross-functional teams to unlock insights from structured and unstructured clinical data using LLMs and NLP, shaping products with scalable pipelines. The role emphasizes collaboration with clinical experts, deployment in production environments,

Qualifications

• Advanced degree in a quantitative discipline or equivalent practical experience.
• 2+ years of experience applying advanced ML and AI techniques to clinical data.
• Direct experience with Large Language Models (LLMs) and prompt optimization.
• Strong proficiency in Python.

Responsibilities

• Dive into complex data science projects and identify opportunities to leverage data for healthcare solutions.
• Collaborate with cross-functional teams to develop AI solutions for healthcare applications.
• Apply ML algorithms including LLMs and NLP to unstructured clinical data and inform decisions.
• Build scalable data pipelines ensuring data quality and accessibility.

Skills

Python programming

Machine learning

LLMs / NLP

Leadership

Education

Advanced degree (quantitative)

Tools

TensorFlow

PyTorch

Prompt engineering

RAG

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 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.

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.
• Experience working with clinical subject matter experts and cross-functional teams.
• Ability to work cross-functionally and lead projects, with a tolerance for ambiguity.

Compensation Information

The Canada base salary range for this full-time position is CAD 139,000 - 156,500 + 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.

Build What's Vital.

At Verily, you are a part of something bigger. We're 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.