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Computational Research Scientist, Chung Lab
  • Job Number: 23509
  • Functional Area: Research - Scientific
  • Department: Picower Institute for Learning & Memory
  • School Area: Science
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: Yes
  • Schedule:


Job Description

COMPUTATIONAL RESEARCH SCIENTIST, CHUNG LAB, Picower Institute for Learning and Memory, to use computational toolkit developer experience to support ongoing research by finding solutions and improvements to the current Chung Lab technologies and processes.  Will play a critical role for a large NIH UM1 center aimed at mapping the human and non-human primate brain atlases using a state-of-the-art technology pipeline consisting of tissue processing methods, molecular probe labeling, volumetric optical imaging, and novel computations 3D image data processing and analysis; undertake engineering design, development, and testing of image processing algorithms and quality control in support of new specialized research instruments.  Responsibilities include designing, testing, and modifying image processing algorithms; designing pipelines and web-based automation tools to convert raw microscopy data into scientific results and visualizations; maintaining the lab's hardware (Linux/Windows) and networking infrastructure; training researchers in the use of the lab's software tools; and working with researchers to create new software tools. 

A full description and additional information about the lab is available here.  

Job Requirements

REQUIRED:  Ph.D. in computational biology, computer science, bioinformatics, physics, engineering, or a related field; strong programming skill in Python, R, MATLAB, or C/C++; proven experience with computational research; track record of publications in journals; familiarity with computational methods in the techniques or simulations relevant to the research area; excellent analytical, problem-solving, and communication skills; meticulous attention to detail; and ability to work collaboratively within a diverse research team and to present complex data in a clear and accessible manner.  Job #23509

12/6/23