Software Development Engineer (Full Time)

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.
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.
The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the infield of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.
TheAcceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. These include:
Inorganic solid-state materials,
Organic small moleculesfor advanced materials,
Drug discovery with chemical probes,
Polymers for materials science and biological applications,
Formulations for pharmaceuticals, consumer products, and coatings,
Synthetic scale-up of materials and molecules.
Reporting to the Executive Director, Acceleration Consortium and under the close guidance of the (Senior) Staff Scientists, the Software Engineer in the AC’s Medicinal Chemistry self-driving lab will play a pivotal role in designing, implementing and deploying robust core software systems critical to the operation of a novel autonomous drug discovery and optimization platform. As part of a multi-disciplinary team, you will facilitate the integration of the software needed for seamless instrument and data management in the context of a world class AI-lead and industry-driven research environment. Ultimately, your work will help to de-risk, democratize and demonstrate the value of the self-driving lab approach in streamlining and accelerating both the fields of drug discovery and materials science as a whole.
Analyzing, recommending, and designing highly complex software architecture
Designing, testing, and modifying programming code
Evaluating programming code to ensure it has validity, compatibility, and that it meets appropriate standards
Developing technical application implementation plans
Analyzing and writing program scripts to extract, reformat and analyze data
Analyzing, recommending and designing technical solutions for highly complex IT problems
Leading and planning IT projects
Serving as aresource on specific issues to a group of specialists

Bachelor's Degree in Computer Science, Software Engineering or a related field or an acceptable combination of education and experience. Master's degree preferred.
Minimum five years of recent and relevant hands-on experience in full-stack software development, particularly in scientific or high-tech environments with significant research and development.
Proficiency in Python and their scientific packages (e.g. Experience with building production-ready frontend applications using React, Angular or Vue.js (or similar)
Familiarity with containerization (Docker) and orchestration systems (Kubernetes).
Assets (Nonessential):

Knowledge of AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch) and their application in scientific experimentation.
Experience in developing and managing scalable data infrastructures (e.g. databases, data pipelines)
js)
Proficiency in Linux systems administration, including command-line tools, shell scripting, and system configuration.
Good working knowledge with AWS
A track record of contributing to open-source projects
Familiarity with materials informatics, cheminformatics, or similar domains.
Schedule: Full-Time
Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)
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.