Research Postdoctoral Fellow - Biomedical Engineering

Atrium Health; Winston-Salem (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Wake Forest University Health Sciences' M-Sense Research Group within the Center for Remote Health Monitoring is seeking motivated researchers to join an interdisciplinary team working at the forefront of digital health technology.

Researchers will contribute to projects developing digital biomarkers, wearable data studies, and machine learning methods, with opportunities to translate findings into clinical trials and digital therapeutics, while mentoring students and contributing to

Qualifications

• PhD or equivalent degree required.
• Experience with wearable data.
• Experience developing and evaluating signal processing and ML algorithms.
• Experience programming in Python.
• Experience publishing manuscripts in high impact journals.

Responsibilities

• Software development and validation.
• Development of signal processing and machine learning algorithms.
• Data engineering.
• Data analysis.
• Data visualization.
• Documentation.
• Manuscript, grant proposal, and presentation development.
• Student research mentorship.
• Reporting.

Skills

Wearable data

Signal processing

Machine learning

Python programming

Scientific publishing

Education

PhD or equivalent degree

Job description

Job Summary

The M-Sense Research Group within the new Center for Remote Health Monitoring at Wake Forest University Health Sciences is seeking motivated and enthusiastic researchers to join our interdisciplinary team.

In line with our mission of empowering patients with digital health technologies, researchers will contribute to ongoing, and dynamic research programs that are at the forefront of our field and are positioned for successful translation to market. Projects include efforts to develop digital biomarkers of balance and mobility impairment for use as novel endpoints in clinical trials or as a key component of digital therapeutics for fall prevention, to identify effective digital health strategies for helping adults of every age develop and sustain healthy behaviors, to detect the presence of mental health disorders in young children rapidly at the point of care, and to manage and prevent panic attacks wherever and whenever they occur.

Researchers will also contribute to projects across the research enterprise leveraging digital health technologies and have access to funds to support the development of new research projects that leverage resources of the Center for Remote Health Monitoring and the scale of the evolving integrated healthcare system. Our system is currently caring for more than seven million patients in Illinois, Georgia, Alabama, Wisconsin, and the Carolinas.

Required Education & Experience

• PhD or equivalent degree.
• Experience working with data from wearable devices.
• Experience developing and evaluating signal processing and machine learning algorithms.
• Experience programming in Python.
• Experience publishing scientific manuscripts in high impact journals.

Key Responsibilities

• Software development and validation.
• Development of signal processing and machine learning algorithms.
• Data engineering.
• Data analysis.
• Data visualization.
• Documentation.
• Manuscript, grant proposal, and presentation development.
• Student research mentorship.
• Reporting.