View Job

This job posting is no longer active on Diverse Jobs and therefore cannot accept online applications.


    

This posting cannot receive an online application from your Diverse Jobs account. To apply, follow the employer's instructions within their job description.

Princeton University

Location: PrincetonNJ 08544 Document ID: AB483-3GRK Posted on: 2018-05-3005/30/2018 Job Type: Regular

Job Schedule:Full-time
2018-06-29
 

Research Specialist I


Requisition # 2017-8256
Department Princeton Neuroscience Inst
Category Research and Laboratory
Full-Time / Part-Time Full-Time
Application Deadline

Overview

The Princeton Neuroscience Institute has a Research Specialist position available to work for the Collaboration on Systems-level Mechanisms in Cognition (CoSMiC). 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 ideal applicant will be an energetic, self-directed person with previous research experience and animal tissue handling; 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.



Responsibilities

The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after genetics experiments. Duties will include:

  • Collaboration with graduate students or postdoctoral research fellows in the participating laboratories to harvest brains after imaging, optogenetics, or electrophysiology experiments.
  • Clearing (uDISCO), fluorescence labeling, and light-sheet microscopic reconstruction of expression patterns.
  • Computer-based registration of brains using the Allen Brain Atlas.
  • Quantitative analysis of fluorescence signals, including automatic cell recognition using custom Python scripts.


Qualifications

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.

Applicants should apply online and include a cover letter, a CV, and a list of at least two potential referees, and also email this information to Sam Wang (sswang@princeton.edu). Review of applications will continue until the position is filled.



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

Salary Grade

RSP, 010

Standard Weekly Hours

36.25

Eligible for Overtime

Yes

Benefits Eligible

Yes

Essential Services Personnel (see policy for detail)

No

Comments Related to End Date

One-year term position, subject to renewal based on satisfactory performance and funding.

Physical Capacity Exam Required

No

Valid Driver's License Required

No



Connect With Us! Join our Talent Network to receive updates about working at Princeton.

Princeton University requires all candidates to complete a background check successfully prior to the start of employment. The type and extent of background checks may vary depending on job requirements and/or functions.

If you have questions or comments regarding the iCIMS Privacy Policy or iCIMS FAQs, please contact accounts@icims.com.

Go to our careers site.

PI102355920



Apply Here