Clinical Research Project Assistant - Child Health Evaluative Sciences (Toronto)

Clinical Research Project Assistant - Child Health Evaluative Sciences (Toronto)

17 Aug
|
SickKids
|
Toronto

17 Aug

SickKids

Toronto

Clinical Research Project Assistant - Child Health Evaluative Sciences
Job ID
24389
Location
Toronto, Ontario
Annualized Hiring Range
$57,283 - $78,764
*Compensation commensurate with experience
Dept/Program Name
Child Health Eval Sciences
Target Openings
1
Work Type
In Person
Hours of Work
0.01
FTE
0.00
Contract Length
Level of Police Check
Criminal & Judicial Record
Date Posted
2026-08-12
Deadline to Apply
2026-09-02
**About Sick

Kids**
Dedicated exclusively to children and their families, The Hospital for Sick Children (Sick

Kids) is one of the largest and most respected paediatric healthcare centres in the world.

As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education.

Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day.

Sick

Kids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join Sick

Kids, you become part of our community.

We share a commitment and determination to fulfill our vision of
_Healthier Children. A Better World_
.

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.
**Position Description**
**Clinical Research Project Assistant**
**Employment Type:**
Part-time (10 hours/week), 9-12 month contract
**About the Opportunity**
We are seeking a motivated and detail-oriented **Clinical Research Project Assistant**
to join an innovative research project focused on applying artificial intelligence (AI) to improve how information is extracted from clinical and research documents.

The
Many valuable clinical and research documents contain information that is difficult to search and analyse, requiring time-consuming manual review.

This project aims to develop an AI-enabled system that automatically identifies, extracts, validates, and organises key information to support research, planning, and reporting.

You will join a project with a working prototype already in place and have the prospect to take ownership of an important component of the system while collaborating with researchers at the Sick

Kids Research Institute, Child Health Evaluative Sciences (Dr.

Sanjay Mahant) and the University of Toronto (Prof Nathan Taback).
**Here's What You'll Get to Do**
Improve and expand an AI-powered document processing and information extraction pipeline.

Build and maintain the connection between a Python application and a PostgreSQL database.





Refine data models and AI prompts to improve the accuracy and completeness of extracted information.

Enhance the system's ability to process documents with varying layouts and formatting.

Design and conduct a formal evaluation of the system's performance.

Create and curate manually reviewed reference datasets for benchmarking.

Select appropriate evaluation metrics and prepare reports summarising system performance.

Run large-scale document processing workflows using Sick

Kids high-performance computing resources.

Contribute to the preparation of a research methods manuscript describing the project.

Collaborate closely with the project team by communicating progress, documenting technical decisions, and identifying opportunities for improvement.
**Here's What You'll Need**
**Required Qualifications**
Currently enrolled in or recently completed an undergraduate or graduate degree in Computer Science, Computer Engineering, Data Science, Health Informatics, Biomedical Engineering, or a related discipline.

Robust programming skills in Python.

Experience working with relational databases and organising structured data.

Experience using Git for version control.

Ability to understand, troubleshoot, and extend an existing codebase.

Strong analytical and problem-solving skills.

Excellent written and verbal communication skills.

Ability to work independently, manage competing priorities, and meet project deadlines.

Ability to communicate technical concepts clearly to both technical and non-technical collaborators.
A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives
**Assets:**
Experience with one or more of the following is considered an asset but is not required: Large language models (LLMs)
Structured information extraction
PDF or document processing
PostgreSQL, SQLAlchemy, or Pydantic
High-performance computing environments
Slurm workload manager
Hugging Face Transformers
vLLM
Git

Hub workflows
We welcome applicants who have strong programming fundamentals and a demonstrated willingness to learn recent technologies.
**What You'll Gain:**
Hands-on experience developing and evaluating an applied AI system used in clinical research.

The opportunity to own a meaningful project component from development through evaluation and deployment.





Experience working with large-scale computing infrastructure at Sick

Kids.

Close collaboration with researchers at Sick

Kids and the University of Toronto.

Flexible working hours that can accommodate academic commitments.

The opportunity to contribute to scholarly publications, including potential authorship on a research methods manuscript.

Experience applying AI and software engineering principles to real-world health research challenges.
**About You**
The ideal candidate is an upper-year undergraduate or graduate student who is curious, dependable, and motivated to solve challenging technical problems.

You enjoy learning recent technologies, are comfortable working independently, and thrive in collaborative research environments.

You have strong attention to detail and are excited by the prospect to apply AI and software development skills to projects with meaningful impact in clinical research.
#LI-DNI
**Our Commitment to Diversity**
Sick

Kids is committed to championing equity, diversity and inclusion in all that we do, fostering an intentionally inclusive and culturally safe environment that reflects the diversity of the patients, families and communities we serve.

Learn more about workplace inclusion. (https://www.sickkids.ca/en/about/edi/workplace-inclusion/)
**Accessibility & Accommodation**
If you require accommodation during the application process, please reach out to our
aSKHR team ( [email protected] )
.

Sick

Kids can provide access and inclusion supports to eligible candidates to support their full engagement during the interview and selection process as well as to ensure candidates are able to perform their duties once successfully hired.

If you are invited for an interview and require accommodation, please let us know at the time of your invitation to interview.

Information received related to access, inclusion or accommodation will be addressed confidentially.
**How To Apply**
Technical difficulties? Email
[email protected]
with a short description of the issues you are experiencing.

We will not accept resumes sent to this inbox but we are happy to respond to requests for technical assistance.
**Tip:**
Combine your cover letter and resume into
**ONE**
document of 20 pages or less as you cannot upload multiple documents as part of your application.

Every application is reviewed by a human recruiter and all hiring decisions are made by people.

In some cases, AI-assisted tools are used to help review applications based on job-related qualifications.

All positions posted on the Sick

Kids Hospital's Careers Site represent current vacancies, unless otherwise posted in the job description.

📌 Clinical Research Project Assistant - Child Health Evaluative Sciences (Toronto)
🏢 SickKids
📍 Toronto

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