Clinical & Biomedical Measurement Scientist

What You'll Do6

• Draft research-level questions from your own clinical or physiological recordings, covering measurement design, signal quality, calibration, or interpretation.
• Explain the technical basis for each problem so reviewers can follow your reasoning and check the answer.
• Set your own task schedule and decide how many assignments to accept.
• Document methods, data context, and assumptions alongside each submitted problem.
• Use Python, MATLAB, or R to inspect recordings and confirm details in the problems you write.
• Review your submissions for factual accuracy, clarity, and completeness before approval.

Requirements4

• Hands-on experience analyzing your own physiological or clinical recordings with Python.
• Clear technical writing in your field, with enough detail for expert readers to follow your methods.
• Self-direction and time management for task-based work with no fixed weekly hours.
• Ability to frame research-level problems from real data in your specialty.

Preferred Qualifications6

• PhD, MD, or master's in biomedical engineering, physiology, neuroscience, or a related field, with hands-on data collection
• Postdoctoral research in physiology, neuroscience, or medical physics
• Patient or animal recordings you collected and analyzed
• Published methods papers, calibration against reference methods, public code, a thesis, or papers that show technical work
• MATLAB or R analysis experience
• Prior data annotation, labeling, or AI/ML evaluation work

Who Should Apply

The role suits a measurement scientist who has collected clinical or physiological recordings and can turn that data into rigorous research questions. You should write well, work without a fixed schedule, and use Python for analysis. A graduate degree and prior annotation or evaluation work help.

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