Data Management Analyst/Programmer

  • UCLA Health
  • Los Angeles, CA, USA
  • Mar 18, 2023
Full Time Administration & Operations Healthcare IT

Job Description


The Fried Lab at the UCLA Department of Neurosurgery seeks a full-time programmer/analyst to organize, backup, and store historical and current data as well as update/build systems to facilitate analysis by internal and external researchers for scientific publication. Under the direction of the lab Project Scientist, the employee will learn the current lab storage system and using their experience with database and server management will modernize how the lab stores, organizes, and retrieves electrophysiological data collected by the lab and its collaborators at internal and external sites. Other tasks include programming for software and hardware control of memory games (tasks) to facilitate future data collection for the purpose of understanding the neurophysiological basis for human memory. The position will include opportunities for cutting-edge scientific work and authorship dependent on unique contributions. Pay Range: $26.20 - $51.39 Hourly

Required: Experience with github, version control, python, databases, and server management. Good communication skills in English and ability to work well with multiple individuals. Ability to maintain an organized working area. Ability to work on several projects simultaneously and to switch focus as needed. Expert use of computers (PC and MAC operating systems). Excellent attention to detail for coding and high-value data storage. Good organization and time management skills. Punctual to lab meetings. Preferred: Experience with Matlab will be helpful but is not required (and easily learned coming from python or similar languages). Graduate in a computational/scientific field (e.g. computer science, mathematics, physics, economics, neuroscience, psychology, operations research, etc.). Familiarity with electrophysiology or brain imaging data. General working knowledge and interest in biology and neuroscience. Implementation of electronic hardware setups to record and process data in real-time for electrophysiological experiments (using C/C++ or similar high-level language). In-person work is preferred, with a hybrid model available. Knowledge of high performance computing systems (will have assistance from the UCLA Hoffman2 Cluster team). Three or more years of experience managing electronic databases and servers.

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