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Project Specialist

USC University of Southern California
🇺🇸 United States
On-site
4 weeks ago
  • MRI
  • Python
  • MATLAB
  • Linux
  • Git
  • Equity
4 weeks ago
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Position overview
The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and its Laboratory of fMRITechnology invite applications for a Project Specialist to support an NIH-funded, multidisciplinary study oflower urinary tract dysfunction after stroke. The project brings together investigators in neuroimaging,urology, rehabilitation, neurosurgery, and biomedical engineering at USC and Rancho Los Amigos NationalRehabilitation Center.
 The study combines functional MRI during controlled bladder filling, diffusion MRI, urodynamic testing, and a12-week course of noninvasive transcutaneous spinal cord stimulation. Its goal is to characterize how strokealters the functional and structural networks involved in bladder control and to identify imaging biomarkersthat may predict treatment response.
 Primary responsibilities
•Coordinate and perform MRI research visits, including participant preparation, MRI safety screeningsupport, scan setup, protocol execution, real-time quality monitoring, and documentation of acquisitionissues.
•Assist investigators in developing and refining study protocols; recommend practical methods for MRI andclinical data acquisition, management, quality control, and statistical analysis.
•Work closely with clinical and research personnel to synchronize MRI, urodynamic, treatment, andoutcome-assessment visits and ensure protocol adherence across pre- and post-treatment time points.
•Assist with participant screening and study-sample management, track eligibility and progression acrossstudy visits, maintain retention and follow-up records, and support end-of-study evaluation activities.
•Support acquisition and quality control of anatomical, task-based and resting-state fMRI, and diffusionMRI data; troubleshoot artifacts and escalate scanner or protocol problems appropriately.
•Organize, curate, de-identify, and maintain research data and metadata using reproducible conventions,including BIDS-compatible organization where appropriate; track completeness, provenance, quality-control results, and data-use requirements.
•Develop, maintain, and execute reproducible neuroimaging pipelines for preprocessing and analysis offunctional connectivity, activation, diffusion metrics, tractography, lesion-related measures, andmultimodal imaging outcomes.
•Integrate imaging measures with urodynamic, clinical, demographic, and treatment-response data;perform statistical analyses for cross-sectional and longitudinal outcomes under investigator guidance.
•Prepare analysis summaries, tables, figures, quality-control reports, methods documentation, and resultsfor abstracts, presentations, grant reports, and manuscripts submitted to peer-reviewed scientificjournals.
•Participate actively in team meetings; communicate progress and data-quality concerns clearly;coordinate with collaborators; and contribute to manuscripts and other scholarly products, withauthorship determined by contribution.
•Maintain and update study procedures, research instruments, and related materials; help train studypersonnel in protocol, data-coding, quality-assurance, and analysis procedures.
•Conduct protocol and data-quality reviews, document deviations or violations, prepare regular statusreports, stay current with relevant scientific literature, and assist with evaluation or maintenance ofspecialized imaging hardware and software.
 Participant-facing responsibilities
This position involves direct interaction with stroke survivors, including individuals who may have mobilitylimitations, fatigue, communication differences, cognitive challenges, anxiety, or urinary symptoms that canaffect comfort and dignity. The successful candidate must be patient, respectful, adaptable, and attentive toeach participant’s needs while maintaining research consistency and safety.
•Explain study and MRI procedures in clear, accessible language and confirm understanding throughoutthe visit.
•Provide a calm, welcoming, and privacy-conscious research experience, allowing appropriate time formobility, communication, positioning, comfort, and restroom needs.
•Recognize participant distress, fatigue, discomfort, or difficulty following instructions and respondempathetically in coordination with clinical staff and study leadership.
•Maintain professional boundaries, confidentiality, cultural sensitivity, and respect for participantautonomy and dignity at all times.
 Required qualifications
•Bachelor’s degree in neuroscience, biomedical engineering, computer science, psychology, biostatistics,data science, or a related quantitative or health-science field, or an equivalent combination of educationand directly related experience. A master’s degree is preferred.
•At least two years of directly related research experience; three or more years is preferred.
•Hands-on research experience with MRI/neuroimaging acquisition, processing, or analysis, with a workingunderstanding of image quality and common MRI artifacts.
•Programming and data-analysis proficiency in Python, MATLAB, and/or R, plus comfort working in Linux-based computing environments.
•Experience with statistical analysis, reproducible research practices, and clear documentation of analyticdecisions and results.
•Strong organizational skills and careful attention to data integrity, confidentiality, version control, andregulatory requirements for human-subjects research.
•Excellent interpersonal and communication skills, reliability, emotional maturity, and the ability tocollaborate effectively with participants, caregivers, clinicians, investigators, and technical staff.
 Preferred qualifications
•Experience with neuroimaging software such as FSL, SPM, AFNI, FreeSurfer, MRtrix3, CONN, ANTs, orcomparable tools.
•Experience with fMRI activation/connectivity analysis, diffusion MRI and tractography, lesion imaging,longitudinal data, or multimodal integration.
•Familiarity with research databases and workflows such as REDCap, BIDS, Git, high-performancecomputing, or automated quality-control systems.
•Prior work with stroke survivors, rehabilitation populations, older adults, or other clinical researchparticipants.
•Evidence of scientific writing, presentation, or publication experience in neuroimaging, neuroscience,rehabilitation, or a related field.
 Research environment
The Stevens INI offers a collaborative environment for advanced neuroimaging research, with access toimaging expertise, computational resources, and multidisciplinary scientific mentorship. The ProjectSpecialist will work closely with the LOFT team and project collaborators and will have opportunities tocontribute substantively to scientific presentations and publications.
 How to apply
Interested applicants should send a curriculum vitae or résumé, a brief statement describing relevanttechnical and participant-facing experience, and contact information for references to:
 Kay Jann, PhD
Assistant Professor of Research Neurology
USC Mark and Mary Stevens Neuroimaging and Informatics Institute
2025 Zonal Avenue, Los Angeles, CA 90033
Email: kay.jann@ini.usc.edu | Phone: 323-865-1

Minimum Education:
Bachelor's degree

Additional Education Requirements
Combined experience/education as substitute for minimum education

Minimum Experience:
2 years

Minimum Skills:
Directly related education and experience to be able to advise on project procedures and analysis techniques.


Preferred Education:
Master's degree

Preferred Experience:
3 years

                                                  

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. 

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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Project Specialist · USC University of Southern California

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