compensation: Salary: commensurate with experience employment type: full-time non-profit organization
QR Code Link to This Post
The Laboratory of Computational Neuroimaging and the Lab for NeuroImaging of Coma and Consciousness seeks Research Assistant
The position involves working in fast-paced neuroimaging labs. The LCN develops and maintains software for MR image analysis and works primarily in a UNIX environment. Both of the labs involved are also responsible for
several in vivo and ex vivo (human) MRI projects.
The Research Assistant would be responsible for work on several projects, with two of higher priority. One of the higher priority projects involves ex vivo scanning 3, 7 and 9.4 Tesla MRI scanners. This would involve
interaction with human brain tissue, both as whole brain and also as blocks and slides. Candidate *must* be comfortable touching brain tissue. Experience in imaging is preferred. Experience in histology a plus.
The second high priority project involves MRI data post-processing: running already existing tools to analyze the data, doing quality checking on the outcomes, manually fixing errors as well as manually outlining regions of interests. Candidate *must* be comfortable with computers and beta testing software. Knowledge of neuroanatomy is preferred. Knowledge of UNIX and/or brain development a plus.
Candidate should be able to work independently, show initiative, confidence in making decisions, able to multitask, not easily stressed, and one who is not easily discouraged by failed experiments but enjoys a challenge. Candidate should also be prepared for some minor work on weekends (with the ability to have a flexible schedule during the week). Candidate should have at least a Bachelor's Degree. Relevant backgrounds would be Neuroscience, Psychology, Engineering, Computer Science, and/or Biology.
The position offers great opportunities to work with prominent scientists, people from a variety of fields, a great and fun team, opportunities to publish, as well as guidance and support for future career choices.