• Full Time
  • Toronto

Website UofTDSI University of Toronto Data Sciences Institute

Date Posted: 09/07/2021
Req ID: 14577
Faculty/Division: Faculty of Arts & Science
Department: Data Sciences Institute
Campus: St. George (Downtown Toronto)

Description:

About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Your opportunity:

The Data Sciences Institute (DSI) is a highly specialized research initiative at the University of Toronto that draws on world-class research expertise across multiple academic divisions, affiliated hospitals, regional, national, and international academic partners, and commercial organizations. The mission of the DSI is to provide the leadership and capacity to catalyze the transformative nature of data sciences across disciplines, in fair and ethical ways, leveraging and strengthening U of T’s pre-eminence in data sciences to solve society’s complex and pressing problems. The initiative will draw upon these strengths to support social change by linking data resources to investigate the impact of data -driven approaches on inequity, as well as combat misinformation and foster trust in data-informed research by driving reproducible and reliable research. It will promote the flow of methodological advancements such as data management, computing, data integration, novel statistical methodology, visualization methods and will facilitate the training of new generations of interdisciplinary trainees.DSI will unify and galvanize the core strengths of Toronto’s data science community building capacity for data and computational-based projects and training by being the focal point for the coordination of data science activities and partnerships to further elevate UofT’s global stature.

Reporting to the Director, DSI Operations and Strategy the incumbent will be responsible for providing software development and analysis services for the unit and various projects, involving multipleresearch groups at academic and industry sites internationally. The Senior Research Programmer will be responsible for design, implementation, operation and maintenance of data structures, data analysis and reporting, project design and management, graphical user interfaces, algorithms, and technical documentation.

Your responsibilities will include:

  • Analyzing, recommending, and designing highly complex software architecture
  • Developing and updating architectural framework for highly complex and confidential university-wide applications
  • Writing complex technical code
  • Evaluating programming code to ensure it has validity, compatibility, and that it meets appropriate standards
  • Commenting on programming code for the purposes of standardization and consistency
  • Analyzing, recommending and designing technical solutions for highly complex IT problems
  • Developing project schedules including milestones, critical path, timelines, deliverables and reporting

Essential Qualifications:

  • Bachelor’s Degree in computer or data science or a related field, or acceptable combination of equivalent experience. Masters degree computer or data science preferred.
  • Minimum five (5) years’ experience with programming in using open-source programming libraries and databases including graphical user interface (GUI) design and other modern technologies.
  • Experience working with both academic and industry partners on research programs.
  • Experience in project management with demonstrated ability to self-prioritize in a fast-paced environment with varying project timelines.
  • Experience writing technical documents and delivering presentations.
  • Experience using and working with R and Python programming.
  • Experience with group software development.
  • Demonstrated knowledge and experience implementing good software engineering practices.
  • Experience with data analysis.
  • Excellent problem solving skills and analytical ability.
  • Advanced presentation and communication skills and strong interpersonal skills.
  • Expert level R and Python programming.
  • Expert level software engineering practices.
  • Strong project management skills.

To be successful in this role you will be:

  • Accountable
  • Communicator
  • Diligent
  • Efficient
  • Meticulous
  • Motivated self-learner
  • Multi-tasker
  • Team player

Closing Date: 09/20/2021, 11:59PM ET
Employee Group: USW
Appointment Type: Budget – Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 — $89,529 with an annual step progression to a maximum of $114,493. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)
Recruiter: Alison MacKenzie

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

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 contact uoft.careers@utoronto.ca.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

To apply for this job please visit jobs.utoronto.ca.