As a Data Scientist, you'll manage experimental data, build data pipelines, and ensure data integrity while collaborating with scientists and engineers.
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 grand challenge, we’re laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures.
To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware.
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 Data Scientist at Until, you’ll own the full lifecycle of experimental data from generation in the lab to processing, analysis, and visualization. You’ll build the infrastructure and pipelines that move data reliably from instruments to insight, designing reproducible workflows and tools that help the team explore results quickly and clearly. You’ll work closely with scientists and engineers, setting a high bar for data integrity and usability across the team.
About You
- Degree in Computer Science, Data Science, Applied Mathematics, Statistics, or in a scientific field coupled with substantial data science experience.
- Demonstrated ability to write modular, maintainable, and reproducible code in Python.
- Proficiency with the Python data science stack, including Polars or Pandas, NumPy, SciPy, Matplotlib, and Plotly.
- Strong foundation in probability, statistics, and data modeling.
- Experience designing schemas and working with structured datasets, with proficiency in SQL for querying and analysis.
- Ability to communicate complex findings clearly to interdisciplinary teams.
- Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers.
Preferred Qualifications
- PhD, Master’s degree, or 3+ years of relevant professional experience.
- Experience with machine learning or predictive modeling, or working with large datasets.
- Experience or exposure to a scientific field such as biology, chemistry, or physics.
Benefits
- Opportunity for outsized impact creating the future as an early team member
- Generous medical, dental and vision insurance coverage
- Flexible time off and paid holidays
- Competitive compensation package, including salary and equity
- 401(k) retirement savings plan
- FSA and commuter benefits
- Subsidized lunch daily
As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Top Skills
Matplotlib
Numpy
Pandas
Plotly
Polars
Python
Scipy
SQL
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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