Predictive Systems Intern

3 weeks ago


Toronto, Canada Deep Genomics Full time

**About Us**

Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and by far the most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering.

**Where You Fit In**

We’re looking for a highly motivated software engineer intern to be part of our multidisciplinary team that is revolutionizing drug development through AI. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process.

You’d work alongside experienced software engineers 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 bring**:

- Solid understanding of Python, NumPy, and Pandas; familiarity with object-oriented programming is helpful but not required.
- Solid understanding of RNA biology (e.g., at the level of an introductory undergraduate course in molecular biology).
- Prior experience with artificial intelligence and machine learning (e.g., at the level of an introductory undergraduate course).
- Prior experience with Git is required; familiarity with Docker and cloud computing is an asset.
- Knowledge of various HT-Seq methods and/or interest in data visualization (particularly browser-based) is an asset.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.



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