Research Postdoctoral Fellow - Biomedical Engineering
About the role
The Department of Biomedical Engineering, in collaboration with the Center for Remote Health Monitoring at Wake Forest University School of Medicine, seeks a motivated Postdoctoral Research Fellow to join an interdisciplinary research program focused on developing, evaluating, and implementing technology‑enabled approaches to improve mobility, physical function, and musculoskeletal health. Research integrates biomechanics, artificial intelligence, digital health, behavioral science, implementation science, and human‑centered design to create scalable solutions that improve health across the lifespan. Current and planned projects include developing objective movement assessment tools using smartphone video, markerless motion capture, wearable sensors, and machine learning; designing and evaluating digital interventions to improve physical activity and musculoskeletal health; developing digital biomarkers of mobility and physical function; implementing technology‑enabled interventions within healthcare systems; and building next‑generation digital health platforms that combine movement assessment, remote monitoring, and personalized behavioral support. Additional collaborative projects involve adaptive sports, healthy aging, rehabilitation, and sports performance. The fellow will contribute to ongoing studies, help shape new research directions, and develop independent projects through collaborations across Wake Forest University School of Medicine and external academic, clinical, and industry partners.
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
- Student mentorship
- Collaboration across interdisciplinary research teams
Requirements
- Ph.D. in biomedical engineering, computer science, data science, or a related field
- Demonstrated experience publishing scientific manuscripts
- Strong scientific writing skills
Qualifications
- Preferred experience with biomechanics, digital health, computer vision, wearable sensors, machine learning, clinical research, or implementation science
- Intellectually curious, highly collaborative, interested in developing an independent academic research career, and excited to help build a growing research program focused on translating innovative technologies into meaningful improvements in human health
Benefits
- Paid Time Off programs
- Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
- Flexible Spending Accounts for eligible health care and dependent care expenses
- Family benefits such as adoption assistance and paid parental leave
- Defined contribution retirement plans with employer match and other financial wellness programs
- Educational Assistance Program
Pay
$30.70 - $46.05 per hour
Schedule
Full-time, 40 hours per week