MS Rehabilitation Research Postdoc Fellow

Mass General Brigham; Boston (MA); On-site; USD 70,000 - 71,750; Full time

Job summary

Massachusetts General Hospital's Cognitive-Motor Behavior Lab seeks a postdoctoral scholar (40 hours/week) to advance clinical and rehabilitation research in MS. The fellow will contribute to project management, study design, data analysis, and dissemination across multiple studies and a clinical trial.

The position offers training in rehabilitation trials, mixed methods, and implementation science, with opportunities to publish and present findings and to mentor students within a supportive

Qualifications

• PhD in a health or rehabilitation field.
• Clinical training in a rehab specialty or aligned expertise.
• Interest in pursuing a career in rehabilitation research in MS.
• Ability and willingness to commit to a minimum of 2 years to the postdoctoral fellowship.

Responsibilities

• Mentor-directed research activities (50%): manage MS rehab projects, fatigue, gait, attention, and other lab studies.
• Postdoctoral fellow directed research activities (30%): develop an independent MS rehab project.
• Professional development (10%): participate in meetings, supervise students, attend seminars and conferences.
• Selected courses, training workshops: conduct clinical trials design, grant writing, NIH independence.

Skills

Critical thinking

Fast learner

Analytical thinker

Biostatistics

Movement analysis

Cognitive assessment

First-author work

Communication skills

Collaboration

Problem solving

Education

PhD in health or rehabilitation

Clinical rehab training

Interest in MS rehab

Willing to commit 2 years

Job description

Massachusetts General Hospital's Cognitive-Motor Behavior Lab seeks a postdoctoral scholar (40 hours/week) to advance clinical and rehabilitation research in MS. The fellow will contribute to project management, study design, data analysis, and dissemination across multiple studies and a clinical trial.

The position offers training in rehabilitation trials, mixed methods, and implementation science, with opportunities to publish and present findings and to mentor students within a supportive