Deep Genomics

Deep Genomics is an AI-first TechBio organization pioneering a new path for genomic R&D with its AI foundation model platform. They aim to program therapies for any gene and any genetic condition by untangling the complexity in RNA biology, identifying novel targets, and evaluating thousands of possibilities to identify the best therapeutic candidates. Their proprietary AI Platform is designed for data-driven prediction, positive feedback loops, and exponential growth, with their foundation model for RNA Biology, BigRNA, released in 2023 and BigRNA+ currently in development. The company has a diverse team of over 100 members with expertise across AI, genomics, drug development, and related fields, and operates from offices in Toronto, Canada, and Boston, USA.

AI PlatformArtificial IntelligenceBigRNADrug DiscoveryGenetic MedicineGenomicsRNA TherapiesTechBiodeepgenomics.com

Deep Genomics

AI PlatformArtificial IntelligenceBigRNADrug DiscoveryGenetic MedicineGenomicsRNA TherapiesTechBiodeepgenomics.com

HQToronto, CA

Team Size105

Open Jobs15

Total Funding$237M

Latest Fundraise5 years ago

Join the Team

Software Engineering Intern (Full Stack)

HybridToronto, Ontario, CA

Hybrid • Toronto, Ontario, CA

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

ContractHamburg, DE

Contract • Hamburg, DE

Software Engineer

InternshipAmsterdam, NL

Internship • Amsterdam, NL

Frontend Developer

Full-timeNovi Sad, RS

Full-time • Novi Sad, RS

Mobile Developer

Part-timeNew York, US

Part-time • New York, US

AI Researcher

InternshipMunich, DE

Internship • Munich, DE

AI Researcher

Full-timeNew York, US

Full-time • New York, US

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.

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.