JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Data Scientist Intern (PEY) - Internship Opportunities
Job Location:	Toronto, ON
Job Location Type:	Hybrid - in office 2 days
If working on site, can you provide a copy of your COVID-19 safety protocols?:	Yes
Number of Positions:	1
Salary:	Salary Not Available, 40.0 hours per week
Start Date:	05/06/2024
End Date:	05/30/2025
Job Function:	Engineering
Job Description:	About Us Deep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering.  Deep Genomics is based in Toronto, Ontario with an additional location in Cambridge, Massachusetts. Where You Fit In  We are seeking upper-year undergraduate students for a 12- to 16-month full-time internship in 2024 to join our Applied Data Science team. This internship offers a valuable learning experience and an opportunity to contribute to real projects while developing your data science skills. You’d work alongside experienced data scientists, software engineers and machine learning experts to build world-class tools and services for our internal platform, which powers the core components of the company: analysis and ingestion of raw data from various lab experiments (both manual and through our robotics platforms), powering the ML data and compute backends (e.g. running large-scale computational processes in the cloud), and state-of-the-art bioinformatics tools. What you will do: - Develop and maintain tools for automating data analysis pipelines. - Help build software for processing various bioinformatics datasets (including but not limited to RNA seq, different laboratory assays). - Work closely with computational and wet lab biology scientists to use these models to design pharmaceutical compounds for testing. - Help build software for training and testing machine learning models. What we offer: - Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics. - Exceptional opportunity to work alongside a smart, collegial, and highly motivated team drawn from backgrounds in machine learning, data science, computational biology, genomics, molecular biology, and software engineering. - Competitive compensation package.
Job Requirements:	What you bring: - Solid understanding of Python and Pandas; familiarity with object-oriented programming is helpful but not required. - Some background in molecular biology (e.g. at the level of an introductory undergraduate course). - Prior experience with Git is required; familiarity with cloud computing is an asset. - Prior experience with artificial intelligence and machine learning (e.g. at the level of an introductory undergraduate course). - Interest in data visualization is an asset.
Preferred Disciplines:	Computer Science Engineering Science (Biomedical) Engineering Science (Machine Intelligence) Data Science Math & Stats Molecular Biology & Biotechnology
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Feb 29, 2024 11:59 PM
Application Receipt Procedure:	Employer Website
If by Website, go to:	https://jobs.lever.co/deepgenomics/a2f8efb5-5cdc-4449-8aaf-82295952d607
Additional Application Information:	Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.  Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. NOTE from the Engineering Career Centre In addition to your application by email/website, please ensure that you select the “I intend to apply for this position” tab on the portal.  This will give us a record of your submitted application in the event that you are invited for interviews.
U of T Job Coordinator:	Nabeela Rahman

ORGANIZATION INFORMATION
Organization:	Deep Genomics
Division:	Predictive Systems
Website:	www.deepgenomics.com

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