Research Postdoctoral Fellow - Biomedical Engineering

Advocate Health; Winston-Salem (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Wake Forest University Health Sciences invites applicants to join the M-Sense Research Group within the Center for Remote Health Monitoring as researchers. The role focuses on digital health technologies, translating research into market-ready endpoints, and contributing to projects across diverse health domains.

Ideal candidates will have a PhD, experience with wearable data, and a strong track record in signal processing, machine learning, Python, and scientific publishing.

Qualifications

• PhD or equivalent degree required.
• 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.

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 analysis

Machine learning concepts

Signal processing

Python programming

Scientific writing

Education

PhD or equivalent degree

Tools

Python

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.

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