Applications are currently being invited for a Data Manager at the Nathan Kline Institute (NKI - https://www.nki.rfmh.org/), in the Computational Neuroimaging Laboratories within the Center for the Biomedical Imaging and Neuromodulation (C-BIN), under the direction of Alexandre R. Franco, PhD. Primary responsibilities for this position will be to work with Neuroimaging (including MRI, EEG, electrophysiology) and Phenotypical data. The Data Manager will play a key role in organizing, curating, converting, storing, securing, and sharing these data to C-BIN researchers and external collaborators. You will be working on a large NIH funded project that consists of collaborators across several universities.
Successful candidates must have sufficient technical skills (e.g., Python, R, MATLAB, bash scripts) to independently modify and create scripts to organize data. The candidate must also have experience working with databases (e.g., SQL). As experience grows, the analyst will be expected to provide supervision for junior researchers in their analytic efforts.
Develop/modify script to transform raw data into standard formats.
Maintain and manage a research database (Longitudinal Online Research and Imaging System - LORIS).
Upload data to the NIH NIMH Data Archive.
Monitor data security.
Generate written and visual progress reports.
Liaise with C-BIN members and collaborators.
Mentor and in some cases supervise junior lab members such as other research associates and graduate students.
Maintain and support open data initiatives, including the NKI-Rockland Sample and International Data Sharing Initiative (INDI).
The minimum qualifications for a successful candidate include:
BS in Biomedical Engineering, Computer Engineering, Computer Science, or other related scientific fields. MS preferred.
Proficient in programming Python, MATLAB, or R.
Experience in Linux environment and software versioning (e.g. GitHub).
Experience in working with Databases (e.g. SQL).
Experience generating plots and graphs (e.g. Matplotlib).
Knowledge with virtual containers and cloud computing is preferred.
Knowledge with one or more MRI data analysis packages (e.g., AFNI, FSL, SPM, of Freesurfer) is preferred.
Ability to work effectively in a very collaborative and multidisciplinary environment.
Anticipated start date: as soon as possible
Use the following link to apply for the position: