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Clinical Data Coding Jobs in Toronto, ON (NOW HIRING)

... codes and accessibility guidelines. * Basic Revit skills are required; proficiency is an asset. Our ... We look at annual market data to understand how different roles are compensated in our industry ...

Our product portfolio includes Mentor CTMS (Clinical Trial Management System), EDC, RTMS and ... GitLab, Claude Code, and AI test generation tools * Drive adoption of AI-assisted coding to 70 ...

Our product portfolio includes Mentor CTMS (Clinical Trial Management System), EDC, RTMS and ... Drive adoption of AI-assisted coding to ≥70% across all teams within Year 1 * Oversee the ...

Our product portfolio includes Mentor CTMS (Clinical Trial Management System), EDC, RTMS and ... GitLab, Claude Code, and AI test generation tools * Drive adoption of AI-assisted coding to 70 ...

... patient data and clinical histories to safely populate test environments without exposing PHI ... Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its ...

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Clinical Data Coding information

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$39

$76

How much do clinical data coding jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for clinical data coding in Toronto, ON is $39.43, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $52.30 per hour, depending on experience, location, and employer.

What does a clinical data coder do?

A clinical data coder reviews medical records and assigns standardized codes to diagnoses, procedures, and treatments using coding systems like ICD and CPT. This process ensures accurate billing, data analysis, and compliance with healthcare regulations, often requiring attention to detail and familiarity with coding software. Coders typically work in healthcare settings and may need certification such as CPC or CCS.

What is clinical data coding?

A Clinical Data Coding job involves assigning standardized medical codes to clinical data, such as diagnoses, procedures, and treatments, to ensure accurate documentation and facilitate healthcare analytics, billing, and research. Professionals in this role use coding systems like ICD, CPT, and SNOMED CT to classify medical information. They work with electronic health records (EHRs) and collaborate with healthcare providers, data analysts, and regulatory bodies. Accuracy and attention to detail are crucial, as coded data impacts patient care, compliance, and reimbursement.

What are the key skills and qualifications needed to thrive in clinical data coding, and why are they important?

To thrive in Clinical Data Coding, strong knowledge of medical terminology, clinical research processes, and disease classification systems (such as ICD-10 or MedDRA) is generally required, often supported by a degree in life sciences or related fields. Familiarity with electronic data capture systems, clinical trial databases, and specialized coding software is essential, along with certifications like Certified Clinical Data Manager (CCDM) or Certified Clinical Research Professional (CCRP) being advantageous. Attention to detail, analytical thinking, and effective communication enhance quality and teamwork in this role. These skills and qualities ensure precise and compliant data coding, which is critical for research integrity, regulatory submissions, and high-quality clinical outcomes.

What does a typical day look like for someone working in clinical data coding?

A typical day in Clinical Data Coding involves reviewing clinical trial data, assigning accurate codes to medical terms, adverse events, and procedures using standard classification systems, and ensuring compliance with regulatory standards. You’ll collaborate closely with clinical data managers, medical reviewers, and biostatisticians to resolve discrepancies and maintain data integrity. Additionally, you may attend team meetings to discuss coding conventions or project updates and perform quality checks on coded data. This role offers a structured environment where attention to detail and accuracy are highly valued, supporting the success of clinical research projects.

What job categories do people searching Clinical Data Coding jobs in Toronto, ON look for? The top searched job categories for Clinical Data Coding jobs in Toronto, ON are:
Infographic showing various Clinical Data Coding job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,009 per year, or $39.4 per hour.

Senior Engineering Manager, Software

Verto Health

Toronto, ON • On-site

CA$150K - CA$200K/yr

Full-time

Medical, Dental, PTO

Re-posted 4 days ago


Job description

About the Company

Verto Health is a health technology company solving healthcare’s most complex data fragmentation and interoperability challenges. Our patented, AI-enabled platform ingests structured and unstructured clinical data across disparate EHRs, claims, and payer systems to create a unified, actionable view of patient populations. We empower health systems and value-based care organizations across North America to master population health by translating hidden clinical insights into personalized patient journeys, automated workflows, and accurate risk adjustments. By bridging the gap between raw data and coordinated action, Verto enables healthcare providers to reduce manual overhead, optimize operational efficiency, and deliver proactive, data-driven care at scale.
About the Role

Verto builds software that takes on some of the most stubborn inefficiencies in healthcare, and it is only worth what we can get live in the health systems we serve, reliably and at scale. As Senior Engineering Manager, Software, you own that side of the work. You will build and lead the engineering team, set the bar for what good looks like, and own what goes to production.

A big part of the job is our NLP pipelines, which turn messy unstructured clinical data into structured data and are a large part of why customers choose us. You will keep that work moving forward while raising how much the whole team gets out of AI, both the engineers and the people working alongside them.

You are comfortable taking a vague business goal and turning it into something the team can build, usually without a map to follow. You report to the CIO and work closely with Product and with our Data & AI leadership, who set product direction and own the data models while you decide how things get engineered and shipped.
 

What You’ll Do

Engineering Leadership & Team Development

  • Build, grow, and lead the engineering team, set the technical bar, and own what ships to production.
  • Develop the next set of technical leads, and run hiring, onboarding, and the co-op program end to end.
  • Keep delivery predictable by managing to outcomes and sprint completion rather than story points, and protect the team from churn and micromanagement.

Technical Strategy, NLP & AI

  • Own the roadmap for our NLP pipelines, working a steady loop of better quality, then lower cost, then faster inference.
  • Bring infrastructure cost and inference time down by evaluating serverless and edge options, and own cloud and tooling vendor decisions.
  • Get the team using frontier AI coding tools every day, and set up ways for non-technical colleagues to contribute through AI.

Architecture, Delivery & Technical Debt

  • Run the Architecture Review Board and make the big system-design calls, setting clear boundaries and strong observability.
  • Protect a standing buffer for tech debt and research, and keep the codebase and internal tooling healthy.
  • Own estimates and scoping for new work, keeping scope simple and being clear up front about whether something is product or custom.

Cross-Functional, Client & Compliance

  • Partner with Product and Data & AI to turn clinical and business needs into solid backend work.
  • Own data ingestion and integration work for enterprise clients, and step into client technical conversations and data work when needed.
  • Manage shared delivery timelines, raise risks early with a plan to resolve them, and keep compliance reporting (such as SR&ED and IRAP) on track.

Resource & Budget Management

  • Own the budget for AI tooling, cloud, and R&D, and match people to the priorities that matter most.
  • Track who is working on what across projects, flag budget issues early, and help build the annual plan for your area.


Where You'll Work

  • This is a remote-first role open to candidates located anywhere in Ontario.
  • We hold dev days at our downtown Toronto office at least once per month, which all team members attend in person.
  • Outside of dev days, the office is yours to use as often as you'd like.


What You Bring

Knowledge & Experience

  • 6+ years of engineering experience with at least 2 years of leadership experience recently leading and growing agile engineering teams, respected as both an engineer and a manager.
  • Prior working experience in a product-led tech company is highly valued
  • Hands-on across a modern stack (Python, Ruby, JavaScript/TypeScript) and frameworks (Rails, Flask, Angular, Vue.js).
  • Solid command of Linux, Kubernetes, Docker, and CI/CD, with experience tuning real infrastructure on a major cloud (Azure, AWS, or Cloudflare).
  • Experience putting Generative AI into products and running NLP, machine learning, or analytics pipelines, plus daily use of AI development tools.
  • Comfortable across multi-database setups (PostgreSQL, Clickhouse, Elasticsearch, Redis).
  • A bachelor’s degree or higher in Computer Science, Engineering, or a related field.

How You Work

  • A strong communicator who can align a room on a complex system and explain it just as well to people who are not engineers.
  • A genuine collaborator who works shoulder to shoulder with the team and across functions, and is at ease finding the simplest workable route through a messy problem.

What Success Looks Like

  • Predictable delivery: Delivery is predictable: sprints land where you said they would and enterprise work ships on time, with risks raised early.
  • A stronger platform: The NLP pipeline keeps getting better while cost and inference time per note keep coming down.
  • Real AI leverage: AI tools are widely adopted across the team, and more gets shipped because of it.
  • A team that scales: The team is healthy and growing, with strong technical leads coming up and a co-op program that pulls its weight.

Why Verto
  • Opportunity to see your code deployed in hospitals and clinics across Canada
  • Work with a cross-functional team of healthcare professionals and technologists
  • Generous professional development support and flexible work options
  • Optional hybrid team with strong culture of collaboration and growth

Compensation

The salary range for this role is $150,000 to $200,000 CAD per year, depending on experience, skills, and alignment with the role.

In addition to base compensation, Verto Health offers a comprehensive benefits package, which may include health and dental coverage, paid time off, professional development support, and flexible work arrangements.

Compensation is reviewed regularly to ensure fairness, market alignment, and internal equity.
 

Ready to Apply

At Verto Health, we’re not just writing code—we’re reimagining how healthcare connects. Whether you’re just starting out or ready to lead large-scale initiatives, you’ll find a place here to grow, collaborate, and make real-world impact.

Do you have 70% of the qualifications we’re looking for? That’s enough. Apply anyway.
If you have come across this post through an external job board, we strongly encourage candidates to apply directly through our careers page here.

Verto Health is committed to providing an inclusive and accessible experience for all applicants. If you require accommodations during the recruitment process, please let us know and we’ll work with you to meet your needs.
 

Use of AI in the Hiring Process

Verto Health uses artificial intelligence-enabled tools during the recruitment process to assist in screening, assessing, and selecting applicants for this position. This includes tools to evaluate candidate skills, experience, and qualifications against the role requirements.

AI tools are used to assist our hiring team, not to make final hiring decisions. All candidate applications and interview outcomes are reviewed and evaluated by people. If you have questions about how AI is used in our hiring process, please reach out.

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