... 400 investigators, scientists, and clinicians, who educate and mentor trainees pursuing ... Developing business development strategies, analyzing market data, and pursuing new business ...
... 400 investigators, scientists, and clinicians, who educate and mentor trainees pursuing ... Developing business development strategies, analyzing market data, and pursuing new business ...
Senior Research Associate
Toronto, ON · On-site
CA$18K - CA$32K/yr
The Nano(materials)-Bio Interactions Lab, in the Department of Physical and Environmental Sciences ... Support project planning, data management, collaborative activities, and completion of project ...
Senior Research Associate
Toronto, ON · On-site
CA$18K - CA$32K/yr
The Nano(materials)-Bio Interactions Lab, in the Department of Physical and Environmental Sciences ... Support project planning, data management, collaborative activities, and completion of project ...
Early Career or Mid-Career Principal Investigator
Toronto, ON · On-site
CA$177K - CA$221K/yr
Scientific Director, Computational Biology Hiring Range: Early Career $144,000 to $181,000 per ... The Computational Biology Program develops and applies data analysis approaches to advance OICR ...
Quick apply
Early Career or Mid-Career Principal Investigator
Toronto, ON · On-site
CA$177K - CA$221K/yr
Scientific Director, Computational Biology Hiring Range: Early Career $144,000 to $181,000 per ... The Computational Biology Program develops and applies data analysis approaches to advance OICR ...
Early Career or Mid-Career Principal Investigator
Toronto, ON · On-site
CA$177K - CA$221K/yr
Scientific Director, Computational Biology Hiring Range: Early Career $144,000 to $181,000 per ... The Computational Biology Program develops and applies data analysis approaches to advance OICR ...
Early Career or Mid-Career Principal Investigator
Toronto, ON · On-site
CA$177K - CA$221K/yr
Scientific Director, Computational Biology Hiring Range: Early Career $144,000 to $181,000 per ... The Computational Biology Program develops and applies data analysis approaches to advance OICR ...
Trainee Data Science information
What does a trainee data scientist do?
A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.
What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?
Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.
What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?
To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.
What is the difference between Trainee Data Science vs Data Analyst?
| Aspect | Trainee Data Science | Data Analyst |
|---|---|---|
| Required Credentials | Basic degree in related field, entry-level certifications | Degree in statistics, mathematics, or related field, often with certifications |
| Work Environment | Internship or entry-level role in tech or finance companies | Business, finance, marketing departments across industries |
| Employer & Industry Usage | Start of data career path, training-focused roles | Data-driven decision making, reporting, and analysis |
In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.
What are the most commonly searched types of Data Science jobs in Toronto, ON?
The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Trainee Data Science jobs in Toronto, ON?
For Trainee Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Trainee Data Science jobs in Toronto, ON look for?
The top searched job categories for Trainee Data Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Trainee Data Science jobs?
Cities near Toronto, ON with the most Trainee Data Science job openings:
Job description
Date Posted: 07/21/2026
Req ID: 49512
Faculty/Division: Temerty Faculty of Medicine
Department: Department of Laboratory Medicine & Pathobiology
Campus: St. George (Downtown Toronto)
Position Number: 00059648
Existing Vacancy: Yes
Description:
About us:
Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science Network and is a global leader in ground-breaking research and education, spanning clinical medicine, basic science and the rehabilitation sciences sectors.
Your opportunity:
The Department of Laboratory Medicine and Pathobiology (LMP) occupies a unique position at the interface between basic biomedical science and clinical practice. We are an assembly of over 400 investigators, scientists, and clinicians, who educate and mentor trainees pursuing undergraduate, graduate, and postgraduate medical studies, engaged in investigating disease mechanisms and patterns and translating new knowledge and discoveries into improved health outcomes for patients and populations.
Situated in LMP, the Temerty Centre for Artificial Intelligence Research and Education inMedicine (T-CAIREM), an interdepartmental centre, serves as a focal point for collaboration between computer scientists, healthcare providers, trainees, medical basic science researchers and industry to advance health through machine learning. The missionof the Centre is to advance research, education, knowledge dissemination and digital infrastructure in the field of AI in medicine.
T-CAIREM aims to be a global leader in facilitating high quality, accessible educational offerings and research collaborations at the intersection of AI and health. T-CAIREM seeks to build capacity to reflect the emerging role of AI in healthcare professions and to build strategic partnerships to implement new solutions that can transform practice.
As the Director, Innovations and Partnerships, you will advance T-CAIREM's financial sustainability by leading commercialization and business development activities across its research and education portfolio in AI in medicine. You will identify and pursue grant, government, and industry funding opportunities, develop and steward strategic partnerships, and guide initiatives toward implementation and commercialization. Working with inventors, researchers, and external partners, you will help protect intellectual property, structure and negotiate commercialization agreements, and build diverse and sustainable revenue streams that support T-CAIREM's mission and continued impact.
Your responsibilities will include:
- Leading commercialization projects, including reviewing and assessing invention disclosures and developing project schedules and reporting
- Writing grant and investment proposals and solicitation documentation for proof of concept, product development, and commercialization activities
- Developing and negotiating commercialization agreements, licensing terms, start-up company structures, and complex business contracts
- Developing strategies to protect intellectual property and ensuring agreements align with University standards and guidelines
- Developing business development strategies, analyzing market data, and pursuing new business, funding, partnership, and growth opportunities
- Identifying and stewarding research and innovation partnerships and facilitating collaboration between academic and industry partners
- Advising inventors on product development and providing researchers with information on commercialization matters
- Forecasting, planning, and monitoring complex budgets and revenue activities, including verifying financial elements in grant submissions
Essential Qualifications:
- Ph.D. or doctorate degree, or an acceptable equivalent combination of education and experience
- Minimum eight (8) years of experience leading commercialization and business development activities
- Demonstrated experience leading commercialization projects and reviewing invention disclosures
- Experience writing grant and investment proposals to secure proof of concept and product development funding
- Demonstrated experience developing and negotiating commercialization agreements, licensing terms, start-up company structures, and complex business contracts
- Experience applying contract law and developing strategies to protect intellectual property
- Demonstrated experience developing research and industry partnerships and identifying new business, funding, or collaboration opportunities
- Experience analyzing market data and implementing sales and marketing plans to support revenue-generating activities
- Experience analyzing commercialization metrics and preparing reports using Excel and business intelligence tools such as Power BI or Tableau
- Experience advising inventors on product development and commercialization
- Experience forecasting, planning, and monitoring complex budgets and verifying financial elements in grant submissions
- Understanding of the AI and digital health innovation ecosystem, including commercialization considerations for AI-enabled medical technologies
- Strong proficiency with Microsoft Office and experience using customer relationship management (CRM) systems, such as Salesforce, HubSpot, or Microsoft Dynamics, to manage partnership pipelines, stakeholder engagement, and business development activities
- Ability to convey highly complex, technical, and confidential information
- Strong analytical and formal negotiation skills
- Effective relationship-management, collaboration, and conflict-resolution skills
- Excellent organizational skills and attention to detail
To be successful in this role you will be:
- Diplomatic
- Discerning
- Entrepreneurial
- Persuasive
- Proactive
Closing Date: 08/16/2026, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 20 -- $131,409. with an annual step progression to a maximum of $168,044.Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Administrative / Managerial
Recruiter: Sana J Mahmood
Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.
Job descriptions are available upon request for internal applicants.