Research Postdoctoral Fellow, Biomedical Engineering

AAH; Winston-Salem (NC); On-site; USD 4,229,232 - 6,343,848; Full time

Benefits offered by this job

Health and welfare benefits

Paid Time Off

Educational Assistance Program

Defined contribution retirement plans

Job summary

Wake Forest University Health Sciences is seeking motivated researchers to join the M-Sense Research Group in the Center for Remote Health Monitoring. The role focuses on developing digital biomarkers from wearable data, with projects spanning balance, mobility, digital therapeutics, and mental health signals.

40-hour weeks, full-time, with competitive pay and benefits. Successful candidates will have a PhD or equivalent, experience with Python, machine learning, and publication of scientific

Qualifications

• PhD or equivalent degree and experience with wearable data and ML algorithms.
• Experience publishing in high-impact journals is preferred.

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

Python programming

Data analysis

Machine learning

Signal processing

Data visualization

Education

PhD or equivalent degree

Tools

Python

Job description

Department: 85082 Wake Forest University Health Sciences – Academic Biomedical Engineering
Statut: Full time
Benefits Eligible: Yes
Hours Per Week: 40
Schedule Details/Additional Information: Full time
Pay Range: $30.70 - $46.05 per hour

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, dynamic research programs at the forefront of our field and 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.

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

Successful candidates will have a PhD or equivalent degree and experience working with data from wearable devices, developing and evaluating signal processing and machine learning algorithms, programming in Python, and publishing scientific manuscripts in high-impact journals.

Benefits

• Base compensation listed within the pay range based on factors such as qualifications, skills, relevant experience, and/or training
• Premium pay such as shift, on call, and more based on a teammate's job
• Incentive pay for select positions
• Opportunity for annual increases based on performance
• Benefits and more
• Paid Time Off programs
• Health and welfare benefits such as medical, dental, vision, life, and short- & 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

Note: Eligibility for programs listed above may depend on your FTE or status (e.g., full-time, part-time, per diem, temporary). Please ask a recruiter for more information during an interview.