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Biomedical Informatics Jobs in Ontario (NOW HIRING)

Advanced degree in a quantitative discipline (e.g., computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering) or equivalent practical experience. * 2+ years ...

New

Bachelor's degree in Materials Science, Mechanical Engineering, or Biomedical Engineering * Minimum ... Exposure to automation, machine learning, or materials informatics WORKING WITH SMARTER ALLOYS ...

Bachelor's degree in Materials Science, Mechanical Engineering, or Biomedical Engineering * Minimum ... Exposure to automation, machine learning, or materials informatics WORKING WITH SMARTER ALLOYS ...

Biomedical Informatics information

See Ontario salary details

$15

$48

$81

How much do biomedical informatics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for biomedical informatics in Ontario is $48.16, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $57.69 per hour, depending on experience, location, and employer.

What is biomedical informatics?

A Biomedical Informatics job involves applying computational techniques, data analysis, and information systems to improve healthcare, biomedical research, and patient care. Professionals in this field work on managing and analyzing medical data, developing health informatics tools, and optimizing electronic health records. They may collaborate with clinicians, researchers, and IT specialists to enhance decision-making and streamline healthcare processes. Roles vary from data scientists and bioinformaticians to health IT specialists and clinical informaticians.

What does a biomedical informatics professional do?

Professionals in Biomedical Informatics spend their days analyzing and managing healthcare data, designing or optimizing data systems, and collaborating with clinicians, IT staff, and researchers to implement technology solutions. Tasks often include developing algorithms to improve clinical workflows, ensuring data integrity and security, and facilitating the integration of health information systems. Much of the work involves translating clinical needs into technical requirements and interpreting data-driven results to help guide decision-making in healthcare settings. This role often requires continuous learning to keep pace with advancements in both medical science and information technology.

What skills and qualifications are needed for biomedical informatics?

To thrive in Biomedical Informatics, you need a strong background in healthcare, computer science, and data analytics, typically with an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with electronic health records (EHRs), and knowledge of standards such as HL7 or FHIR are often required, as are certifications like AMIA Health Informatics Certification. Excellent problem-solving, communication, and teamwork skills help distinguish top candidates in collaborative, interdisciplinary environments. These skills are crucial for transforming complex health data into actionable insights that drive improvements in patient care and healthcare systems.

Is biomedical informatics a good career?

Biomedical informatics is a growing field that combines healthcare, data analysis, and information technology to improve patient outcomes and research. It offers diverse job opportunities, often requiring skills in programming, data management, and knowledge of healthcare systems. The career can be rewarding for those interested in interdisciplinary work and technological innovation.

Is biomedical informatics still a good career?

Biomedical informatics is a growing field that combines healthcare, data analysis, and information technology, with increasing demand for professionals skilled in data management, electronic health records, and health data analytics. The field offers diverse roles in research, clinical settings, and industry, often requiring knowledge of programming, databases, and healthcare systems. Job prospects remain strong due to ongoing advancements in healthcare technology and data-driven decision making.

What can you do with a degree in biomedical informatics?

A degree in biomedical informatics prepares individuals for roles such as clinical informaticist, health data analyst, or biomedical software developer. Graduates work with electronic health records, health information systems, and data analysis tools to improve healthcare delivery and research. Skills in programming, data management, and understanding healthcare workflows are essential in this field.

What job categories do people searching Biomedical Informatics jobs in Ontario look for?

The top searched job categories for Biomedical Informatics jobs in Ontario are:

Infographic showing various Biomedical Informatics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,168 per year, or $48.2 per hour.

Full-time

Posted 3 days ago

New


Job description

Company Overview

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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