Clinical Research Coordinator II

The CRC will work closely with investigators, post-docs, and study staff to oversee current and upcoming studies.

* The CRC will be responsible for data analysis, data management and data collection.

* Common data types include multimodal MRI, EEG, EMG, digital biomarkers (i.e. smartphone passive and active assessments, wearables, voice and face recognition), behavioral and neuropsychological tasks, and standardized clinical questionnaires. These are often acquired in the context of different neuromodulaiton interventions, such as TMS, tDCS/tACS, ECT, etc.

* Data analysis will require the use of various statistical software (such as R) as well as programming languages such as Python and Matlab in a Linux environment.

* Data management will require handling data within a server environment and optimize the functionality of the database.

* The position would also be responsible for setting up scripts for evaluating the quality of the data.

* The position requires coding, implementing, de-bugging and optimizing scripts that quantify neuroimaging, neurophysiology and behavioral data, under the supervision and mentoring of experience faculty and postdocs.

* The position includes opportunity to develop novel scripts and learn cutting edge computational technology, including machine learning techniques.

* The CRC will participate in the production of scholarly reports, research abstracts, posters, and manuscripts for publication (including opportunities for first author roles when appropriate).

* Preference is given to candidates who are interested in data science or research as their long-term career.

* Extensive training in brain stimulation, neuroimaging, neuroscience, translational/clinical research and writing skills will be provided.

* Strong scientific, technical and career development mentoring will be provided, as well as opportunities to publish and present at national conferences.

The following skills are required/preferred:

1. Bachelors degree is required.

2. Applicants with strong technical backgrounds in computer/data science or mathematics and an interest in applying these skills to neuroscience will be given high priority.

3. A strong background in statistical analysis software (R, SPSS, Stata) will also be given high priority.

4. Background in data science, engineering, math, psychology or neuroscience is ideal.

5. Coding skills in programming language(s) (e.g. Python, Matlab, Shell scripting, R) are required.

6. Knowledge of Dockers/Singularity and familiarity with version control is desirable.

7. Coding certifications, including from MOOCs platforms such as EdX, Cousera, or Udemy, are highly desirable.

8. Prior neuroimaging and/or EEG experience, including familiarity with fMRI and/or EEG data analysis is desirable.

9. Applicants with experience in psychological task design software (Presentation, E-Prime, Psychophysics Toolbox, PsychoPy) are encouraged to apply.

10. Strong interpersonal skills are a must.

11. Candidates must be highly organized, attentive to detail and able to work independently.

12. Good writing and editing skills, required.