JOB DESCRIPTION:

Applications are currently being invited for a data analyst position in the Computational Neuroimaging Laboratories within the Center for the Biomedical imaging and Neuromodulation (C-BIN), under the direction of Alexandre R. Franco, PhD. A primary responsibility of this position will be the processing of large scale neuroimaging datasets for C-BIN investigators and collaborators, using state-of-the-art image processing pipelines (e.g., functional MRI, structural MRI, diffusion imaging and arterial spin labeling). The analyst will also support investigators in the analysis of datasets using a combination of univariate and multivariate analytic approaches (e.g., machine learning theory). Successful candidates must have sufficient technical skills (e.g., Python, R, Matlab, bash scripts) to independently modify processing pipelines and apply novel data analysis strategies. The analysis will also be expected to maintain the neuroinformatics infrastructure of C-BIN and data sharing initiatives (e.g. cloud computing and SQL). As experience grows, the analyst will be expected to provide supervision for junior researchers in their analytic efforts.

JOB DUTIES:

• Implement novel signal processing, machine learning, and statistical methods in Python, R and bash script.
• Perform image processing and analysis on very large fMRI, MRI, DTI and ASL datasets using high performance computing infrastructures.
• Liaise with C-BIN members and collaborators.
• Maintain neuroinformatics infrastructure of C-BIN
• 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).

JOB QUALIFICATIONS:

The minimum qualifications for a successful candidate include:

• BS in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or other related scientific fields. MS preferred.
• Proficient in programming Matlab, Python, or R
• Experience in Linux environment, virtual containers, and cloud computing
• Extensive experience with one or more MRI data analysis packages (e.g., AFNI, FSL, SPM, of Freesurfer)
• Prior experience with functional MRI or diffusion imaging processing pipelines
• Knowledge in working with Databases (e.g. SQL).
• Proficiency in the application of multivariate analytic techniques. Machine learning theory strongly preferred.
• Knowledge of cognitive and/or clinical neuroscience (preferred).
• Ability to work effectively in a very collaborative and multidisciplinary environment.

Background Investigation/Justice Center Review Requirements:

Prospective appointees will be: 1) Checked against the Staff Exclusion List (SEL) maintained by the Justice Center for the Protection of People with Special Needs. Prospective employees whose names appear on the SEL as having been found responsible for serious or repeated acts of abuse or neglect will be barred from appointment. 2) Screened against the Statewide Central Register of Child Abuse and Maltreatment (SCR). Prospective employees whose names are indicated on the SCR may be barred from appointment.

*The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer/Minority/Women/Disabled/Veteran Employer. VEVRAA 41 CFR 60-300.5(a) compliant.

Applications will only be accepted through website at: http://corporate.rfmh.org - Click on Employment Opportunities. Applications will be accepted only during the posting dates as listed at the top of the job announcement