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Biomedical Engineering jobs in Cambridge, ON

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    • Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or…
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    • Experience developing and deploying production-grade software and machine learning systems using modern software engineering best practices.
    • Solid understanding of physical metallurgy and materials engineering principles.
    • You will work hands-on with advanced alloys and thermomechanical processing to…
    • Under the supervision of the Director of Operations, the Research Technician provides essential technical, logistical, and administrative support for field and…
    • Bachelor’s degree in engineering with P.Eng. designation.
    • The key Vitaliti differentiator is the ability to gather very accurate telemetry from easy to use,…
    • You’ll collaborate closely with business development, engineering, and manufacturing to deliver reliable systems and coatings for optical applications (e.g., AR…
    • Strong communicator who can gather requirements, align stakeholders, and translate engineering intent clearly across disciplines and partners.
    • Working on challenging engineering projects.
    • A post-secondary engineering degree, diploma or equivalent, specializing in mechanical, electrical, systems or…
    • You will work closely with engineering, data management, and platform teams to deliver on that vision.
    • Technical Product Leadership: Proven ability to define…
    • 2–4 years of software engineering experience.
    • Serve as the technical bridge between hospital stakeholders and FluidAI’s engineering team.
    • Embraces AI as part of a modern engineering toolkit.
    • Experience in one or more of: optical/wireless communications, radar/sensing, motor control, biomedical…
    • Working collaboratively with engineering and assay teams, the Jr.
    • Bachelor’s degree in mechanical engineering or equivalent.
    • Full-Time (40 hr/wk).
    • Recently completed a Ph.D. within the last 5 years in materials science & engineering, chemical engineering, biomedical & health science or pharmaceutical…
    • Master’s degree in engineering, or equivalent combination of education and experience may be considered.
    • Provides guidance and input on the feasibility of using…
    • Must have knowledge and training in safety and good laboratory practices related to biomedical engineering “wet lab” context/environment including knowledge of…
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AI Applied Scientist
Verily
·
3.4
Waterloo, ON
$139,000–$156,500 a year
Full-time

Job details

$139,000–$156,500 a year
Full-time
Waterloo, ON

Full 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.

This role is eligible for Verily-sponsored immigration support.


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.

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