[Eeglablist] RESEARCH ASSISTANT / DATA ANALYST Position available at the Martinos Center for Biomedical Imaging/ Harvard Medical School

[Sheraz Khan]

RESEARCH ASSISTANT / DATA ANALYST Position available at the 
Martinos Center for Biomedical Imaging/ Harvard Medical School.

Research assistant / data analyst Position available at the 
Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 
Charlestown, MA. This is an ideal position for someone with excellent 
programming / signal processing / analytical skills, who is interested 
in neuroscience in general and or in neurodevelopmental disorders in 
particular, and would like exposure to the field before deciding on how 
to proceed in their career.

PRINCIPAL DUTIES AND RESPONSIBILITIES

* Primary responsibilities will include:
-Collection of MEG/MRI data from healthy children and children with 
neurodevelopmental disorders such as autism (i.e.
working directly with subjects, mostly children, but also adults).
-Analysis of MEG data with opportunities also for MRI data analysis
-Programming stimuli for experiments
-working with a team to improve data analysis approaches and developing 
new analysis techniques
-Opportunities will be given to take an active part in influencing the 
directions of the research to those thinking about
graduate school in neuroscience.

* Secondary responsibilities will include:
-Keeping up with relevant literature in the field and occasionally lead 
the weekly journal club
-Contributions to grant and paper writing.
-Some contributions to general lab operations such as IRB and database 
maintenance

QUALIFICATIONS
A B.Sc. is required, M.Sc./M.Eng. is preferred. Relevant signal 
processing experience in an academic setting (e.g. thesis work) or 
non-academic job is a must. A two-year time commitment is preferred. The 
applicant must be facile with computers and programming. Experience with 
Matlab is optimal, but an excellent background in programming in general 
is sufficient. The applicant should be familiar with linux/unix 
operating systems, and a quick learner of complex software packages and 
new concepts. Ideally, the applicant would highly skilled in signal 
processing, be it from engineering, computer science, MEG/EEG, single 
unit work, or other backgrounds.

Contact
For more information or to apply, please email CV and cover letter to 
Tal Kenet, at tal at nmr.mgh.harvard.edu




      
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