- Salary
- $53k – $76k
- Location
- 149 Thirteenth Street Building 149 Charlestown (Building 149), United States of America
- Workplace
- Hybrid
- Type
- Full-time
- Education
- PhD
- Source
- Workday
Description
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
The Division for Neuropsychiatry and Neuromodulation at the Massachusetts General Hospital, Harvard Medical School, is seeking a full time Data Analyst for a series of exciting large-scale projects aimed at understanding 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 includes the Transcranial Magnetic Stimulation (TMS) clinical service, tightly integrated with our research mission, where we provide individualized treatments for neuropsychiatric patients.
Qualifications
Duties and Responsibilities
The Data Analyst responsibilities will include, but are not limited to:
- Implement and support statistical analyses, machine learning models, and processing pipelines/scripts for behavioral, EEG and multimodal neuroimaging analysis, including resting‐state and task-based fMRI, DTI and volumetric data.
- Assist in the creation of databases, query tools for data mining, and documentation on their effective use. Behavioral (RedCap, etc.) and neuroimaging databases (BIDS, XNAT, etc.) are emphasized.
- Maintain quality control and integrity of neuroimaging and behavioral data by developing, implementing and overseeing data entry and QC protocols.
- Implement web-based behavioral questionnaires (e.g. RedCap) and program behavioral tasks with presentation software (e.g. Psychophysics Toolbox, PsychoPy, Presentation).
- Provide programming and analysis support for lab members.
- Coordinate general lab computer/network administration (including data management and archiving).
- Assist with the preparation of scientific reports and publications.
- Provide technical and logistical support for in-person study visits (data collection) as needed.
- Provide training and backup support for CRCs on various projects as needed.
Additional Job Details (if applicable)
Qualifications:
- 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.
- Proficient with multiple neuroimaging analysis platforms (e.g. HCP Pipeline and Workbench, FreeSurfer, SPM, FSL, AFNI, etc.).
- Strong programming skills and comfort with diverse computing environments (Linux) required.
- Strong background in statistics and statistical software scripting (R, Python preferred).
- Strong background creating scientific figures and writing technical scientific reports.
- 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.
- Experience with graph analyses, machine learning and modeling confer a significant advantage.
- Graphic or Web design skills are considered a plus.
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$53,040.00 - $75,888.80/Annual
Grade
5
EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.