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Remote Health Informatics Jobs in Ontario (NOW HIRING)

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Remote Health Informatics information

What is remote health informatics?

Remote health informatics is the field of managing and analyzing health information data using technology, often from a location outside of traditional healthcare settings. Professionals in this field work with electronic health records, telemedicine platforms, and health data systems to improve patient care, streamline workflows, and ensure data security. Remote roles in health informatics allow individuals to contribute to healthcare innovation and support clinical decisions from anywhere, leveraging digital tools and cloud-based systems. This flexibility makes it possible for healthcare organizations to access specialized expertise regardless of geographic boundaries.

What are remote health informatics jobs?

A remote health informatics job is a supportive administrative position in health care that allows you to work from home. Your responsibilities involve the development of methods to organize, analyze, and monitor patient records. Your duties are to track patient data, review medical policies and procedures, create and store documents, and work to improve clinical care. Remote health informatics professionals communicate through email and phone calls with IT staff and administrators and have limited direct contact with patients. Opportunities are available in hospitals, medical offices, and health care organizations as directors, managers, and analysts.

What are the key skills and qualifications needed to thrive as a remote health informatics specialist, and why are they important?

To thrive as a Remote Health Informatics Specialist, you need a solid background in health information management, data analysis, and familiarity with healthcare regulations, often supported by a degree in health informatics or a related field. Experience with electronic health record (EHR) systems, health information exchanges, and certifications like RHIA or CAHIMS are typically required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex data and collaborating with remote teams. These skills enable accurate data management, regulatory compliance, and informed decision-making in a technology-driven healthcare environment.

What are some common challenges faced by professionals working in remote health informatics roles, and how can they be overcome?

One common challenge in remote health informatics is ensuring secure and efficient access to sensitive health data while working off-site, which requires strong familiarity with data privacy regulations and cybersecurity protocols. Additionally, remote professionals often need to collaborate closely with clinical teams and IT staff across different locations, necessitating excellent communication and project management skills. To overcome these challenges, it's important to stay current with industry best practices, participate in regular virtual meetings, and leverage secure collaboration platforms to maintain strong teamwork and compliance.

What is the difference between Remote Health Informatics vs Remote Medical Coding?

AspectRemote Health InformaticsRemote Medical Coding
Required CredentialsBachelor's degree in health informatics, IT, or related field; certifications like RHIA or RHITCertification such as CPC, CCS, or CCA; high school diploma or equivalent often required
Work EnvironmentHealthcare organizations, hospitals, clinics, or remote settings involving data managementMedical offices, billing companies, or remote coding jobs for healthcare providers
Industry UsageUsed across healthcare IT, data analysis, and health information managementPrimarily in medical billing, coding, and reimbursement processes

Remote Health Informatics focuses on managing healthcare data, improving systems, and supporting clinical decision-making, often requiring a background in health information management. Remote Medical Coding involves translating medical records into standardized codes for billing and insurance, requiring coding certifications. While both roles are remote and healthcare-related, they differ in responsibilities, credentials, and industry applications.

What are the most commonly searched types of Health Informatics jobs in Ontario?

The most popular types of Health Informatics jobs in Ontario are:

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

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

Infographic showing various Remote Health Informatics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Software Engineer, Labelling, Data & Automation

Waabi

Toronto, ON • On-site, Remote

CA$127K - CA$225K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


Key responsibilities

  • Build pipelines, tools, and workflows to accelerate the development of AI-first self-driving technology.

  • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across large datasets.

  • Design and manage the deployment of data solutions to deliver high-quality labeled data for machine learning teams.


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology.  The Labelling & Data Automation team plays a critical role in Waabi's training pipeline.  We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
 

You will..

- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. 

- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected

- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system

- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects

- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement

- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities

- Champion engineering excellence, ensuring high-quality, well structured, and tested code.

- Contribute to project roadmap planning, prioritization, and delivery.

 

Qualifications: 

- 4+ years of industry experience.

- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.  

- A willingness and ability to learn new skills, technologies, and software libraries as required. 

- Strong experience with data pipelines for large-scale processing and analysis.

- Strong communication and organizational skills 

- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.

- Open-minded and collaborative team player with the willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Points:

- Experience with ML pipelines, including dataset curation, labelling, training and evaluation. 

- Previous experience in self-driving technology or related fields.

- Familiar with linear algebra (projections, transforms) and 3D geometry.

- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).

- Experience with with front end development

- Experience working with open-set / embedding models and deploying them in a production setting

- Experience working with infra as code (Terraform, CloudFormation, etc)

The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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