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# Programmer

- **Company:** Columbia University
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Computational Biology, Machine Learning, Scientific Computating, Software Engineering, Software Systems, Information Technology
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d1361e6e3e7a4765

## About the Role

* Bachelor's Degree in Computer Science, Computational Biology, Bioinformatics, Mathematics, related quantitative field, or equivalent in education and experience
 * At least 3 years of related experience, * Experience with machine learning, scientific computing, computational biology, bioinformatic, or structural biology.
 * Experience working with large-scale biological or scientific datasets.
 * Knowledge of statistical methods and quantitative data analysis.
 * Demonstrated ability to independently take a computational project from problem formulation through implementation, analysis, and delivery.

## Description

The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a full-time Programmer with a strong focus on software engineering and computational biology. The Programmer will develop and maintain software infrastructure and computational tools for analyzing signaling networks and their organization in mammalian systems.

This position offers the opportunity to work at the intersection of software engineering, machine learning, and computational biology, with projects involving large-scale biological datasets and computational analyses. The Programmer will collaborate closely with members of the AlQuraishi Lab as well as academic and industry partners across major research consortia, including OpenFold, AISB (AI Structural Biology Network), and OpenBind.

Responsibilities

 * Write code and develop machine learning algorithms
 * Run large scale analyses
 * Summarize and prepare reports on the findings
 * Utilize analytical skills to solve moderately complex problems based on guidelines, protocols, and procedures
 * Work within guidelines to carry out assigned duties
 * Share information and confirmation of data with other members of the lab and the PI