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New Graduate Computer Science Jobs in Toronto, ON

Clinical Data Scientist

Toronto, ON · On-site

CA$100K - CA$120K/yr

Bachelor's degree in quantitative discipline (e.g. statistics, computer science, applied ... OR higher-level graduate degree with 3+ years of medical imaging/hemodynamics experience OR ...

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

The Project Information Management group is seeking an Information Management Analyst new graduate ... Graduating 2026 or recently graduated with a Bachelor of Information Management/Computer Science or ...

The Project Information Management group is seeking an Information Management Analyst new graduate ... Graduating 2026 or recently graduated with a Bachelor of Information Management/Computer Science or ...

Data Scientist

Toronto, ON · Hybrid

CA$131K - CA$150K/yr

A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ... Those who are new to the role may join below the midpoint and develop their skills over time. The ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Technical skills in both data and computer science. There are 3 core technical skills we look for ...

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New Graduate Computer Science information

What are New Graduate Computer Science jobs?

New Graduate Computer Science jobs are entry-level positions designed for individuals who have recently completed a degree in computer science or a related field. These roles typically include job titles like software engineer, data analyst, IT support specialist, and web developer. Employers seek candidates with a solid foundation in programming, problem-solving skills, and the ability to quickly learn new technologies. These positions provide hands-on experience, mentorship, and opportunities for career growth in the technology sector.

What are the key skills and qualifications needed to thrive as a New Graduate in Computer Science, and why are they important?

To thrive as a New Graduate in Computer Science, you need a solid grasp of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and basic knowledge of software development tools is essential. Problem-solving abilities, eagerness to learn, and effective teamwork are standout soft skills for success in entry-level roles. These skills and qualities are crucial for adapting to real-world technical challenges and contributing effectively to software development projects.

What are some common challenges new graduate computer science hires face during their first year on the job?

New graduate computer science hires often encounter challenges such as adapting to large, complex codebases, understanding company-specific development workflows, and bridging the gap between academic concepts and practical application. It's common to feel overwhelmed by the scale of real-world projects and the fast pace of agile development environments. Building effective communication skills and seeking mentorship from more experienced colleagues can help ease this transition and accelerate professional growth.

What is the difference between New Graduate Computer Science vs Software Developer?

AspectNew Graduate Computer ScienceSoftware Developer
Required CredentialsDegree in Computer Science or related fieldDegree often preferred; experience may substitute
Work EnvironmentEntry-level, training-focused, team collaborationDevelopment teams, project-based, coding-focused
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech companies, enterprise IT
Search & Comparison IntentUnderstanding entry-level roles, qualificationsJob responsibilities, skills, career path

In summary, a New Graduate Computer Science role typically refers to an entry-level position requiring a relevant degree and focuses on training and learning. A Software Developer may have similar qualifications but often involves more specific coding responsibilities and project work. Both roles are common in tech industries and serve as starting points for a career in software development.

What are popular job titles related to New Graduate Computer Science jobs in Toronto, ON? For New Graduate Computer Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching New Graduate Computer Science jobs in Toronto, ON look for? The top searched job categories for New Graduate Computer Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for New Graduate Computer Science jobs? Cities near Toronto, ON with the most New Graduate Computer Science job openings:
Infographic showing various New Graduate Computer Science job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Sessional Lecturer - CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs

Sessional Lecturer - CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs

University of Toronto

Toronto, ON • On-site

CA$16K/mo

Other

Posted 2 days ago

New


Job description

Date Posted: 07/10/2026
Req ID: 49324
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs


Please note, this position is equivalent to a 0.5 FCE appointment.

Course description: This half-course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive. Project themes change each year. Contact the Computer Science Undergraduate Office for information about this year's topic themes, required preparation, and course enrolment procedures. Not eligible for CR/NCR option. A refundable deposit of approximately $92 will be charged for the use of Arduino kit in lab activities. Students must submit an application to the course describing relevant interests, experience, and skills and general academic history. Application questions are set and assessed by the instructor. Applications from St. George students enrolled in a Computer Science program or the Data Science Specialist program will be considered first. Applications by students from other programs with appropriate prerequisites will be considered as space permits.

Reference: https://artsci.calendar.utoronto.ca/course/csc490h1

Estimated course enrolment: 45 students per section


Estimated TA support: one 60-hour TA position

Class schedule: 

Mondays 16:00-19:00 

*Please note, the delivery method for this course is currently in-person. Please note that, in keeping with current circumstances, the section delivery method may change as determined by the Faculty or the Department.   

Sessional dates of appointment: September 1, 2026 - December 31, 2026

Salary:

Sessional Lecturer I = $14,381.00

Sessional Lecturer I - Long Term = $16,080.00

Sessional Lecturer II = $16,080.00

Sessional Lecturer II - Long Term = $17,212.00

Sessional Lecturer III = $17,212.00

Sessional Lecturer III - Long Term = $17,755.00

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

  • Graduate degree in Computer Science or closely related field required.
  • Demonstrated expertise in topic area of the course required.
  • Strong organizational, interpersonal, and communication skills required.
  • Teaching experience at the university level or equivalent industry level required.

Preferred qualifications:

  • Previous experience teaching undergraduate courses in the field of Computer Science preferred.
  • Demonstrated evidence of excellence in teaching preferred.
  • Experience leading companies and organizations within the technology sector preferred.
  • Experience building long-term partnerships between academic and industry organizations preferred.

Description of duties:

  • Preparing and delivering the lectures in-person on campus as scheduled.
  • Handling course administration including: maintaining the course website on Quercus; developing marking schemes/syllabus; planning tutorial content (when applicable); developing course assessments including assignments, projects, quizzes, tests, and final assessments.
  • Providing appropriate contact time outside of class to students, through office hours, email, the course website and/or the course bulletin board.
  • Preparing the breakdown of hours for TA duties in the course and supervising the TAs.
  • Ensuring that tutorials and/or labs are delivered appropriately by the TAs as applicable.
  • Managing the grading for the course, which is largely done by the TAs, and carrying out any grading not handled by the TAs.
  • Invigilating term tests and the final exam when applicable.
  • Managing the grades, including the timely completion and release of grades and feedback to students throughout the term; submitting final course grades (due January 11, 2027).

While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must get approval from these faculty members or from the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the department's Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam)

Application instructions: All individuals interested in this position must submit their application by using the following appplication form. The direct link is: https://forms.cloud.microsoft/r/TkWGpTDjjx. This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form. If you have any questions, please email: sessional_lecturer@cs.toronto.edu.

***

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please email: sessional_lecturer@cs.toronto.edu.

Closing Date: 07/20/2026, 11:59PM EDT

**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

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 position.