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The ideal candidate will build and scale the computational and infrastructure backbone, including data pipelines, lab automation, and cloud systems. They will own projects end-to-end, collaborate cross functionally, and set a high standard for scalable code.
Responsibilities
Own software projects end-to-end, from requirements through deployment
Build modular, maintainable, and high performance Python code
Design and optimize database schemas and queries using PostgreSQL
Develop backend systems using frameworks such as Flask, FastAPI, or Django
Work with cloud infrastructure and distributed systems
Collaborate with scientists and engineers to solve complex, cross functional problems
Use developer tools effectively, including Linux, Git, and shell scripting
Qualifications
Degree in Computer Science or a related field such as Applied Mathematics, Statistics, or Data Science
Strong understanding of algorithms, operating systems, and concurrency
Proven ability to write clean, scalable Python code
Experience with backend development frameworks
Experience with relational databases, particularly PostgreSQL
Experience with cloud platforms such as AWS or GCP
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Biotechnology Research
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