Until is building reversible cryopreservation technology for human tissue, focusing on organ-scale cryopreservation to prevent organ loss due to logistics and enable patients to wait for future cures. A key challenge is discovering non-toxic cryoprotectant formulations.
Requirements
- Demonstrated ability to write modular, maintainable, and performant code in Python
- Experience with data analysis (Polars, Pandas, NumPy, Matplotlib, Plotly) and fundamentals in math and statistics
- Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP) and building software that integrates with these platforms
- Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency
- 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 projects end-to-end, from defining requirements to building scalable solutions
Responsibilities
- building computational and data infrastructure that accelerates our science
- design and implement data pipelines and automation systems to enable researchers to generate, analyze, and share experimental results seamlessly
- own projects end-to-end
- collaborate across disciplines
- set a high bar for developing code that scales with the team
Other
- Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science)
- Experience with laboratory automation (liquid handling, robotics)
- Experience or interest/exposure to biology
- 3+ years of relevant professional experience, or a graduate degree
