JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Computational Research Engineering Intern
Job Location:	Toronto, ON
Job Location Type:	Hybrid
If working on site, can you provide a copy of your COVID-19 safety protocols?:	Yes
Number of Positions:	1
Salary:	$55000.00 annually for 0.0 hours per week
Start Date:	05/06/2024
End Date:	04/25/2025
Job Function:	Engineering
Job Description:	We will review applications on a rolling basis, so please apply early. See below for more application information. ABOUT STRUCTURA BIOTECHNOLOGY Structura Biotechnology is a Toronto-based scientific software company with origins at UofT’s Department of Computer Science. We build CryoSPARC, a leading computational platform for cryo-electron microscopy (cryo-EM) image analysis. Cryo-EM is a Nobel Prize-winning technology that is revolutionizing life science research and drug discovery. Thousands of scientific users at pharmaceutical companies, biotechs and academic research labs globally use CryoSPARC to compute and visualize 3D structures of proteins and other important biomolecules as part of their research and drug discovery loops. Examples of leading discoveries include the first-ever structure of the SARS-CoV-2 spike protein in 2020, which was subsequently used for vaccine development efforts. In 2022, we announced a partnership with Thermo Fisher Scientific to deliver an embedded version of our real-time data processing engine, CryoSPARC Live, with their microscope hardware. What’s next for us? We want to keep leveraging our 6+ years of expertise and leadership in cryo-EM and scientific software development to meet the newest frontiers in cryo-EM, such as enhanced 3D visualization, use of AI/ML to explore heterogeneity, real-time processing and automation, R&D to develop new algorithms/workflows specific to drug discovery targets, and to continue designing excellent algorithms and software that scientists truly enjoy using. We are a small, energetic and highly focused team that is dedicated to helping make cryo-EM a ubiquitous and accessible technology that can power new advances in biology and medicine. We take pride in our work and our strong team culture of respect, continuous learning and tenacity. If you are looking for a mission-driven, high-impact role alongside an excellent team, you will fit right in. Past PEY students have contributed directly to key innovations in CryoSPARC as well as being part of scientific publications, patent applications, and having their code used daily by thousands of scientists around the world.  Structura Biotechnology is located in downtown Toronto, steps away from St. Patrick subway, the MaRS Discovery District, University Health Network and University of Toronto, with close ties to UofT and the entrepreneurship ecosystem. Become part of our friendly, multidisciplinary team working towards the goal of creating the best software tools for cryo-EM.  About Cryo-EM: Cryo-EM (cryo-electron microscopy) is a powerful Nobel prize-winning structural biology method for determining the 3D structure of biological molecules, including proteins, protein-drug complexes and viruses, and is expected to become the dominant method for protein structure determination within the next five years. Cryo-EM enables discovery of therapeutically-important protein structures that could not be obtained before by other techniques, like the SARS-CoV-2 spike protein, CRISPR, the Zika virus, and tau filaments implicated in Alzheimer’s disease. The cryo-EM field is truly interdisciplinary: it is an intersection of structural biology, electron physics, mathematics, and more recently, high-performance computing and computer science. At Structura Bio, we bring our expertise in machine learning and software engineering to further the limits of cryo-EM image processing and uncover the 3D structures of molecules that have never been solved before.  Computational Research Engineer Intern Role: The Computational Research Engineer Intern will work with talented peers to develop and implement novel algorithms and techniques to advance the state of CryoSPARC and the global field of cryo-EM computational methods. Much of the work you will do is at the frontiers of the field, with incredible opportunities for learning and experimentation. Excellent work can yield high profile publications, patents, and your code being deployed to thousands of scientists who use it daily. What you will do: Implement and validate computer vision and machine learning (large scale inference) algorithms to solve real problems in cryo-EM Write stable high performance numerical/scientific code for CPU and GPU Perform thorough experiments on real protein data to validate algorithms Contribute to advancing CryoSPARC’s capabilities and the state-of-the-art in structural biology and cryo-EM data processing Learn about all aspects of what makes a software startup work Learn best practices for software development in a small-team setting Our HPC technology stack: Python, CUDA, numpy, cython, scipy, scikit-learn, TensorFlow Hybrid Work: We currently operate 2 fixed days in person and 3 days remotely
Job Requirements:	Structura is the right fit for you if you are a motivated individual who is excited about learning new things, thinking on your feet, and becoming an integral part of a team of talented peers working to create something meaningful. We don’t differentiate between undergrad, grad, etc. Everyone on the team is encouraged to speak up, take ownership of their work and take things to the next level with their contribution. The ideal candidate will be willing to learn, take initiative, and adapt well to changing circumstances. Must-haves: - Proficiency in Python and numerical computing, especially using numpy - Experience with computer vision, signal processing, and/or image processing - Solid understanding of mathematical concepts like Fourier transforms and interpolation, probability and statistics - At least a basic knowledge of Unix-based systems, command-line interfaces - Excellent time management and communication skills - Diligence and persistence for research projects and experimentation Nice- to-haves: - Experience in numerical computing using C, CUDA - Experience with medical imaging, visualization, 3D imaging - Knowledge of optimization methods and modern machine learning
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Aerospace) Engineering Science (Biomedical) Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence) Engineering Science (Math, Stats & Finance) Engineering Science (Nanoengineering) Engineering Science (Physics) Engineering Science (Robotics) Materials Engineering Data Science Math & Stats
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 9, 2023 11:59 PM
Application Receipt Procedure:	Online via system
Additional Application Information:	We will review applications on a rolling basis, so please apply early. Please include a cover letter with your application.  Although the posting advertises a 12 month position, we are happy to accommodate 16 month terms. Start and end dates flexible. If you wish to speak to previous PEY students about their experience, we are happy to arrange this. Please contact Saara Virani: spunjani@structura.bio Hybrid Work: We currently work on-site on a set 2 days per week schedule for meetings and collaboration.
U of T Job Coordinator:	Melissa Siah

ORGANIZATION INFORMATION
Organization:	Structura Biotechnology Inc.
Division:	Main Office
Website:	https://structura.bio/

ADDITIONAL INFORMATION
Length of Workterm:	FLEXIBLE PEY Co-op: 12-16 months (range)