RESEARCH AND DATA ANALYST
LABORATORY FOR NEUROPSYCHIATRY AND NEUROMODULATION
MASSACHUSETTS GENERAL HOSPITAL, HARVARD MEDICAL SCHOOL

Background:
The Laboratory for Neuropsychiatry and Neuromodulation at the Massachusetts 
General Hospital, Harvard Medical School, is seeking a full time Research and 
Data Analyst for a series of exciting large-scale projects aimed at 
understanding the circuit dynamics underlying neuropsychiatric disorders and 
their treatments. The laboratory is a multidisciplinary group conducting 
clinical, translational and basic human neuroscience research with healthy and 
neuropsychiatric populations, using device-based neuromodulation interventions 
(TMS, tDCS, ECT, DBS, etc.), neuroimaging, EEG, behavioral and clinical 
methods. The program is directed by Joan Camprodon, MD MPH PhD and includes the 
Transcranial Magnetic Stimulation (TMS) clinical service, tightly integrated 
with our research mission, where we provide individualized treatments for 
neuropsychiatric patients.

Duties and Responsibilities:
The Scientific and Data Analyst responsibilities will include, but are not 
limited to:

  1.  Implement and support processing pipelines for multimodal neuroimaging 
analysis, including resting‐state and task-based fMRI, DTI and volumetric data.
  2.  Implement and support statistical analyses and scripts for behavioral, 
clinical and neuroscience data.
  3.  Assist in the creation of databases, query tools for data mining, and 
documentation on their effective use. Behavioral (RedCap, etc.) and 
neuroimaging databases (XNAT, etc.) are emphasized.
  4.  Maintain quality control and integrity of neuroimaging and behavioral 
data by developing, implementing and overseeing data entry and QC protocols.
  5.  Implement web-based behavioral questionnaires (e.g. RedCap) and program 
behavioral tasks with presentation software (e.g. Psychophysics Toolbox, 
PsychoPy, Presentation).
  6.  Provide programming and analysis support for lab members.
  7.  Coordinate general lab computer/network administration (including data 
management and archiving).
  8.  Assist with the preparation of scientific reports and publications.

Qualifications:

  1.  B.A., B.S. or equivalent with background in neuroscience, computer 
science, engineering or related fields. Masters or PhD degree preferred but not 
required. 2+ years of prior technical experience.
  2.  Quantitative and extremely proficient with multiple neuroimaging analysis 
platforms (HCP Pipeline, FreeSurfer, SPM, FSL, AFNI, etc.).
  3.  Strong programming skills and comfort with diverse computing environments 
required.
  4.  Strong background in statistics and statistical software scripting (R 
preferred).
  5.  Strong interpersonal skills and a high level of organization with careful 
attention to detail are absolutely required. This position requires a high 
degree of motivation and self‐sufficiency, although extensive training and 
supervision will be provided.

Additional Qualifications:

  1.  Experience with neuroimaging and behavioral databases.
  2.  Experience with network analyses, machine learning and modeling confer a 
significant advantage.
  3.  Experience with EEG analysis is preferred.
  4.  Graphic or Web design skills are considered a plus, but not required for 
consideration.

Additional Information:
Applications must be sent by email to Dr. Joan Camprodon 
(jcampro...@mgh.harvard.edu<mailto:jcampro...@mgh.harvard.edu>) CCing Lauren 
Johnson (ljohnso...@mgh.harvard.edu)<mailto:ljohnso...@mgh.harvard.edu)> and 
include a CV, cover letter and names of three references.
Expected start date: Fall 2017/Winter 2018




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