Clinical & Biomedical Measurement Scientist

$50/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Create research-level problems that test AI models using firsthand experience with physiological or clinical recordings. This is remote, flexible contract work for scientists who have collected and analyzed real biomedical data.

The work

You will write accurate, well-documented research problems in your area of biomedical measurement expertise. The strongest fit is someone who has personally collected and analyzed patient or animal recordings, worked through calibration or reference-method issues, and can turn that experience into problems with clear assumptions, evidence and answer criteria.

What the platform screens for

AfterQuery screens for verifiable hands-on work with physiological or clinical recordings, not clinical practice without data analysis or machine learning based only on public datasets. Working knowledge of Python for analyzing your own recordings is required. MATLAB or R is a plus. A PhD, MD or Master's degree with hands-on clinical or laboratory data collection is preferred, particularly in biomedical engineering, physiology, neuroscience, medical physics or a related field. Publications, a thesis, public code, methods work and prior AI evaluation or data annotation experience can help substantiate your background.

Practical details

The contract is fully remote and task-based, with no fixed weekly schedule. A typical task takes about six hours, and contractors choose how many tasks to accept while managing their own time. Work is completed independently, and accepted experts undergo identity and background verification.

Pay band: $50/hr

What they look for

Hands-on collection and analysis of physiological or clinical recordings
Working knowledge of Python for analyzing biomedical recordings
Biomedical measurement expertise in a relevant clinical or laboratory field
Ability to write research-level technical problems with clear documentation
Independent task management and reliable delivery

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your experience comes from direct data collection and analysis, including knowledge of the instrument, acquisition protocol, subjects and failure modes.
A strong answer: Identify the measurement modality, study setting, acquisition hardware, sampling choices, population and your personal responsibilities. Include one concrete acquisition problem you detected and how it affected the usable data.
Where people lose it: Candidates lose points by describing a public dataset or a team project without distinguishing what they personally collected, configured or analyzed.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.