Research Specialist I

New Jersey, United States
11 May 2020
End of advertisement period
11 Jul 2020
Contract Type
Fixed Term
Full Time

Department Princeton Neuroscience Inst
Category Research and Laboratory
Full-Time / Part-Time Full-Time
Name of Lab BRAIN CoGS


The Princeton Neuroscience Institute has a Research Specialist position available to work for the Brain Registration and Histology Core Facility of BRAIN CoGS (Circuits of coGnitive Systems). This multi-laboratory project seeks to understand how multiple brain regions work together to carry out cognitive processing, using mice as a model system for mammalian brain function.

This primary responsibility of this position is to provide support for the efforts of multiple laboratories. A principal project is understanding how multiple brain regions work together in working memory and decision-making. This project is part of a collaboration with Carlos Brody, Mark Goldman (UC Davis), Jonathan Pillow, Sebastian Seung, David Tank, Sam Wang, and Ilana Witten.

The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after physiological experiments.

The ideal applicant will be an energetic, self-directed person with previous research experience in animal tissue handling and microscopy. This person should be comfortable with computer-based analysis and the handling of giga/terabyte-scale data.

This is a one-year position with the possibility of renewal based on funding and performance. A commitment of at least two years is preferred.

Applicants should apply online and include a cover letter, a CV, and a list of at least two potential referees.


  1. Assisting with harvesting brains after in-vivo imaging, optogenetics, or electrophysiology experiments.
  2. Assisting with tissue clearing protocols (iDISCO, uDISCO, SHIELD, etc.)
  3. Operating and maintaining fluorescence microscopes (light-sheet, epi-fluorescence/slide scanner) part of the Core Facility.
  4. Volumetric reconstruction of whole brain images.
  5. Computer-based registration of brains to a standardized atlas.
  6. Quantitative analysis of fluorescence signals, including automatic cell recognition using deep learning and custom Python scripts.
  7. Collaboration with graduate students, postdoctoral research fellows, and software developers in the participating laboratories regarding experimental design and analysis of histological and anatomical data.


  • A bachelor's degree in a science or engineering field is required, along with previous research experience.
  • A degree in natural science, engineering, or computing-related field is highly preferred.
  • A master's degree is a plus.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW