Staff Associate I | |
| Workplace | New York City - New York - USA |
| Category | |
| Position | |
| Published | |
|
The Staff Associate I will work in close collaboration with scientists in the Movement Recovery Laboratory to develop pipelines for analyzing electrophysiological data collected from both rats and humans. These pipelines will include components of signal processing, advanced machine learning, and data visualization. Key Responsibilities: Data Science and Programming in Python: Experience developing data pipelines, performing analysis, and building tools using Python. Independent and Proactive Problem Solving: Demonstrated ability to approach challenges with initiative and minimal supervision. Troubleshooting and Strategy Development: Able to identify issues and devise solutions independently and effectively. Statistical Modeling and Bayesian Inference: Solid understanding and practical application of statistical models, including Bayesian methods. Strong Communication Skills: Must have excellent written and verbal communication abilities to convey complex scientific and technical information clearly Required: Bachelor’s degree 1- 4 years of related work experience Experience with computer systems, including web-based applications Proficiency in Microsoft Office applications, such as Outlook, Word, Excel, PowerPoint, or Access Preferred (but not required): Ability to draft scientific papers independently with minimal direction or feedback Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
| |
|
| |
|
In your application, please refer to myScience.org and reference JobID 3226489. | |
Related News
4 March 2026
Software tool shows potential for cost effective coastal erosion monitoring
17 February 2026
Researchers’ algorithm could become an important step towards privacy in the age of AI
6 February 2026
New AI system pushes the time limits of generative video