Software Engineering Intern (full Stack)

Toronto, ON, CA, Canada

Job Description

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our cutting-edge AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.



About the Role

We're looking for a highly motivated software engineering intern to be part of our team. You'd work alongside experienced software engineers to build tools and services for our AI-based drug discovery platform. These include building internal web applications and software solutions to make our data and AI easily discoverable, accessible, interpretable and maximally effective for everyone in the R&D organization.



This platform uses TypeScript and React (including Redux Toolkit and MaterialUI) on the front end, Python on the back end, and GCP as our cloud provider. While the position will focus on front-end development, we expect the successful candidate to be involved in all layers of the application.
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Basic Qualifications



Solid knowledge of React and TypeScript. Hands-on experience with building Single-Page Applications and writing unit tests. Experience using Python to create REST APIs for web services. Solid understanding of Git / GitHub and branch-based workflows. Passion for designing simple and intuitive user interfaces, with the ability to build a deep understanding of user requirements and perform quick iterations (e.g. via mocks). Experience with SQL databases. Experience deploying to the cloud, Docker, and continuous integration tools (e.g. CircleCI).

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Job Detail

  • Job Id
    JD3164082
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, CA, Canada
  • Education
    Not mentioned