Software Engineering Intern (Full Stack) at Deep Genomics

Toronto, Ontario, Canada

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Biotechnology, AI, Drug DiscoveryIndustries

Requirements

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)

Responsibilities

Work alongside experienced software engineers to build tools and services for the AI-based drug discovery platform
Build internal web applications and software solutions to make data and AI easily discoverable, accessible, interpretable, and maximally effective for the R&D organization
Focus on front-end development using TypeScript and React (including Redux Toolkit and MaterialUI)
Involve in all layers of the application, including Python back-end and GCP cloud provider

Skills

React

TypeScript

Redux Toolkit

MaterialUI

Python

REST APIs

Git

GitHub

SQL

GCP

Docker

CircleCI

Unit Testing

Deep Genomics

AI-driven drug discovery and development

About Deep Genomics

Deep Genomics focuses on drug development in the biotechnology sector by utilizing artificial intelligence to explore RNA biology and discover potential therapies for genetic conditions. The company's main product, the AI Workbench, employs data-driven predictions to identify new drug targets. This tool has evolved over time, with the latest version, AI Workbench 3.0, set to enhance its capabilities in targeting complex genetic diseases. Deep Genomics serves a diverse clientele, including pharmaceutical companies and research institutions, and generates revenue through the development and licensing of its AI Workbench. The goal of Deep Genomics is to accelerate the drug discovery process and improve treatment options for patients suffering from genetic disorders.

Toronto, CanadaHeadquarters

2014Year Founded

$230.3MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, BiotechnologyIndustries

51-200Employees

Benefits

Company Equity

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Professional Development Budget

Risks

Increased competition from companies like Insitro and Recursion Pharmaceuticals.

Rapid technological advancements may render current AI Workbench obsolete.

Ethical concerns and regulatory scrutiny could delay product development timelines.

Differentiation

Deep Genomics uses AI to unravel RNA biology for drug development.

The AI Workbench identifies novel drug targets and therapeutic candidates.

BigRNA model advances RNA disease mechanism discovery and candidate therapeutics.

Upsides

AI integration with CRISPR allows precise gene editing and therapeutic development.

AI-driven platforms optimize clinical trial designs, reducing costs and time to market.

AI identifies novel biomarkers, expanding target discovery capabilities.

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