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Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this time-critical challenge, we’re laying the foundation for medical hibernation: pausing molecular motion to give patients a bridge to future cures.
To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, controlled-rate freezers, and vitrification and rewarming protocols for human tissue. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models.
We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive.
About the Role
As a Software & ML Intern at Until, you’ll build the computational and infrastructure backbone that enables our science to move faster. You’ll design and implement data pipelines, lab automation interfaces, cloud-based scientific tooling, and active-learning frameworks that scale with our experiments. You will own projects end-to-end, collaborate across disciplines, and set a high bar for developing code that scales with the team.
About You
- Currently pursuing or recently completed a degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science).
- Ability to work for 3-4 full months full time and in person, from January - May 2026.
- Demonstrated ability to write modular, maintainable, and performant code in Python.
- Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency.
- Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, and statistics.
- Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly.
- Proficient with developer tooling, including Linux command line, Git, and shell scripting.
- Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers.
- Track record of owning software/ML projects end-to-end, whether through past internships, research experience, or personal projects.
Preferred Qualifications
- Experience with cloud infrastructure (AWS, GCP).
- Experience with relational databases and proficiency in SQL.
- Fundamentals in a scientific field (physics, biology, chemistry) and experience applying computational methods to this field.
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
