Sleep & Circadian Research Fellow - Wearables & Aging

Washington State University - Spokane; Occupational Sleep Medicine Group

Boston (MA)

On-site

USD 65,000 - 75,000

Full time

14 days+

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Benefits offered by this job

State-of-the-art facilities
Mentorship program
Collaborative environment
Competitive salary and benefits

Job summary

Harvard Medical School and Massachusetts General Hospital seek a motivated Postdoctoral Research Fellow to advance studies at the intersection of sleep and circadian physiology, cognitive function, and wearable data analytics. You will lead multidisciplinary projects, supervise trainees, design experiments, analyze EEG/ECG/actigraphy data, and contribute to manuscripts and grant applications.

Some nonstandard shifts, including nights or weekends, may be required.

Qualifications

  • PhD, MD, or MD/PhD in a relevant field.
  • Strong scientific writing skills and a record of peer‑reviewed publications.
  • Background or strong interest in sleep, circadian physiology, cognition, or neurophysiology.

Responsibilities

  • Lead participant recruitment, data collection, quality control, and analysis.
  • Serve as project leader for controlled laboratory studies.
  • Prepare protocols, IRB materials, manuscripts, and grant applications.
  • Collaborate with clinicians, engineers, data scientists, and trainees.
  • Present research findings at scientific meetings.
  • Mentor junior team members, as appropriate.
  • Characterize multidimensional physiological rhythms using wearable devices.
  • Analyze EEG, ECG/PPG, actigraphy, blood pressure, cognitive and biomarker data.

Skills

Sleep physiology
Circadian physiology
Cognition
Scientific writing
Publications
Signal processing
Statistics
Machine learning

Education

PhD, MD, or MD/PhD in a relevant field

Tools

Python
MATLAB

Job description

Harvard Medical School and Massachusetts General Hospital seek a motivated Postdoctoral Research Fellow to advance studies at the intersection of sleep and circadian physiology, cognitive function, and wearable data analytics. You will lead multidisciplinary projects, supervise trainees, design experiments, analyze EEG/ECG/actigraphy data, and contribute to manuscripts and grant applications.

Some nonstandard shifts, including nights or weekends, may be required.

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