Parkinson’s Neuroimaging Postdoc (MRI, TMS/DBS)

C001 Medical University of South Carolina (MUSC - Univ); Town of Charleston (NY); On-site; USD 65,000 - 90,000; Full time

Job summary

The Medical University of South Carolina seeks a Postdoctoral Research Fellow to join a Parkinson's disease neuroscience lab. The role focuses on advanced MRI biomarkers, TMS/DBS methods, and NIH‑funded studies examining cognition and neural networks.

Collaboration with clinicians and opportunities for grant writing and publications are central to the position. Candidate will design, conduct, and analyze data using 3T MRI and brain stimulation tools, with potential extension based on funding and

Qualifications

• PhD in Neuroscience, Psychology, Biomedical Engineering or related field.
• Strong publication record in peer‑reviewed journals.
• Excellent organizational, interpersonal, and communication skills.

Responsibilities

• Lead analysis and writing of manuscripts for peer‑review journals (30%).
• Acquire/analyze neurocognitive and multimodal MRI data (e.g., fMRI, DTI) (20%).
• Prepare IRB applications and ensure compliance with human subjects regulations (15%).
• Contribute to grant applications (15%).
• Implement non‑invasive/invasive brain stimulation protocols (TMS, DBS) (10%).
• Present at scientific meetings (5%).
• Mentor junior lab members (5%).

Skills

Publication record

Neuroimaging analysis

Collaboration

Independent work

Education

PhD in Neuroscience, Psychology, Biomedical Engineering

Tools

FSL

SPM

AFNI

FreeSurfer

Python

MATLAB

R

Job description

The Medical University of South Carolina seeks a Postdoctoral Research Fellow to join a Parkinson's disease neuroscience lab. The role focuses on advanced MRI biomarkers, TMS/DBS methods, and NIH‑funded studies examining cognition and neural networks.

Collaboration with clinicians and opportunities for grant writing and publications are central to the position. Candidate will design, conduct, and analyze data using 3T MRI and brain stimulation tools, with potential extension based on funding and