Research Postdoctoral Fellow - Biomedical Engineering
About The Position
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. The program integrates biomechanics, artificial intelligence, digital health, behavioral science, implementation science, and human-centered design to develop scalable health solutions. Projects include movement assessment using smartphone video, markerless motion capture, wearable sensors, and machine learning; digital interventions for physical activity and musculoskeletal health; digital biomarkers of mobility and physical function; technology-enabled interventions in healthcare systems; and digital health platforms combining movement assessment, remote monitoring, and personalized behavioral support. Related collaborations include adaptive sports, healthy aging, rehabilitation, and sports performance. The fellow will contribute to ongoing research, help shape new research directions, and develop independent projects with collaborators across Wake Forest University School of Medicine and external academic, clinical, and industry partners. The role also offers an opportunity to develop an independent academic research career and contribute to a growing program translating innovative technologies into improvements in human health.
Requirements
- Ph.D. in biomedical engineering, computer science, data science, or a related field.
- Demonstrated experience publishing scientific manuscripts.
- Strong scientific writing skills.
Nice To Haves
- Experience with biomechanics, digital health, computer vision, wearable sensors, machine learning, clinical research, or implementation science.
- Intellectual curiosity, a highly collaborative approach, interest in developing an independent academic research career, and enthusiasm for translating innovative technologies into meaningful improvements in human health.
Responsibilities
- Design and implement studies.
- Analyze biomechanical, clinical, and digital health data.
- Develop and validate software.
- Develop computer vision, signal processing, and machine learning methods.
- Write scientific materials.
- Develop manuscripts, fellowship applications, and grant proposals.
- Present research findings.
- Mentor students.
- Collaborate across interdisciplinary research teams.
Benefits
- Paid time off programs.
- Medical, dental, vision, life, and short- and long-term disability benefits.
- Flexible Spending Accounts for eligible health care and dependent care expenses.
- Adoption assistance and paid parental leave.
- Defined contribution retirement plans with employer match and other financial wellness programs.
- Educational Assistance Program.
- Potential premium pay, incentive pay for select positions, and annual performance-based increases.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
