Postdoctoral Fellow in Digital Health & Mobility AI

610 Wake Forest University Baptist Medical Center; Charlotte (NC); On-site; USD 87,968,000 - 131,952,000; Full time

Benefits offered by this job

Benefits eligible

Job summary

Wake Forest University School of Medicine seeks a Postdoctoral Research Fellow in Biomedical Engineering to join a collaboration focusing on mobility, musculoskeletal health, and digital health. The role spans biomechanics, AI, machine learning, and software development, with opportunities to contribute to independent projects across WFUSM and external partners.

The ideal candidate will hold a PhD in a relevant field, have publication experience, and possess strong scientific writing skills.

Qualifications

• Ph.D. in biomedical engineering, computer science, data science, or related field is required.
• Demonstrated experience publishing scientific manuscripts and strong writing skills.
• Preferred experience in biomechanics, digital health, computer vision, wearable sensors, machine learning, clinical research, or implementation science.

Responsibilities

• Study design and implementation.
• Biomechanical, clinical, and digital health data analysis.
• Software development and validation.
• Development of computer vision, signal processing, and machine learning methods.
• Scientific writing; manuscript, fellowship, and grant proposal development.
• Presentation of research findings; collaboration across interdisciplinary teams.
• Student mentorship.

Skills

Scientific publications

Scientific writing

Biomechanics

Digital health

Computer vision

Wearable sensors

Machine learning

Education

Ph.D. in Biomedical Engineering

Ph.D. in Computer Science

Ph.D. in Data Science

Job description

Wake Forest University School of Medicine seeks a Postdoctoral Research Fellow in Biomedical Engineering to join a collaboration focusing on mobility, musculoskeletal health, and digital health. The role spans biomechanics, AI, machine learning, and software development, with opportunities to contribute to independent projects across WFUSM and external partners.

The ideal candidate will hold a PhD in a relevant field, have publication experience, and possess strong scientific writing skills.