Subject Matter Expert – Medicine & Biostatistics Chart Analysis

$25–50/hrrate as listed

micro1 is contracting clinicians and biostatisticians to build multi-step reasoning tasks from medical and epidemiological charts — Kaplan-Meier curves, forest plots, ROC curves, hazard-ratio plots — and to write the rigorous answer keys that go with them. Observed pay is $25–50/hr, remote and asynchronous, with volume tied to a single customer project.

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

What the work involves

You receive or select a real clinical or epidemiological figure and turn it into an assessment item that a frontier model should be able to solve only by reading the chart correctly. That means writing a question with a single defensible answer — a median survival estimate read off a step function, a pooled effect compared against a subgroup in a forest plot, an AUC comparison, an interpolated event rate at a specific time point — and then writing the worked solution: which axis, which legend entry, which confidence interval, what arithmetic, what inference. Explanations are expected to read like a methods appendix, not a hint. Reviewers push back on items that are ambiguous, answerable from the caption alone, or that dress up a subjective clinical opinion as a quantitative question.

What the platform screens for

micro1 runs an AI-led interview before any task work. The screen is less about your CV and more about whether you can talk fluently about chart mechanics under follow-up: censoring marks and number-at-risk tables, log scales and null lines on forest plots, why a hazard ratio is not a risk ratio, what a p-value in a subgroup row does and does not license. Expect to be asked to reason aloud about a specific figure and to defend an answer when the interviewer proposes a plausible alternative reading. Spoken and written English clarity is graded directly — the deliverable is prose explanation, so vagueness is disqualifying.

Logistics

Fully remote contractor engagement, invoiced hourly against approved tasks.
Asynchronous; no fixed shifts, though customer projects often ask for a stated weekly commitment (commonly 10–20 hours) and reasonable turnaround on review feedback.
Volume is project-dependent and can pause when a customer batch closes — treat this as supplemental rather than replacement income.
Observed band is $25–50/hr; placement within it typically tracks credential level, throughput, and how often your items survive review without rework.

What they look for

Chart interpretation accuracy
Multi-step quantitative reasoning
Question design / unambiguous task construction
Domain-specific terminology precision
remote collaboration

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you hold a Bachelor's degree or higher in Medicine, Epidemiology, Biostatistics, Public Health, or a closely related quantitative clinical field (such as clinical research, pharmacoepidemiology, or biomedical sciences)?
Advanced degree in medicine, biostatistics, epidemiology, or public health · required
Do you have two or more years of professional, academic, or research experience interpreting clinical trial data, survival analyses, epidemiological data, or similar medical research visualizations?
Professional or research experience with clinical trial and epidemiological data · required
Have you worked directly with medical statistical visualizations such as Kaplan-Meier curves, forest plots, ROC curves, or hazard-ratio plots, and can you interpret confidence intervals, p-values, and statistical annotations in these charts?
Demonstrated expertise with medical statistical charts · required
Can you write clear, detailed technical explanations in English at a professional or academic level, including step-by-step analytical reasoning and domain-specific terminology?
Advanced written English proficiency · required
Do you have experience writing, designing, or developing analytical questions, assessment items, technical documentation, or data annotation specifications for medical, research, or training projects?
Experience designing analytical tasks or assessment questions · preferred
Are you proficient in at least one statistical, data visualization, or research software tool (such as R, Python, STATA, SAS, or similar) that you have used to interpret, create, or verify medical charts or epidemiological data?
Familiarity with statistical or data visualization software · preferred

0 of 6 answered

Included with this listing

Interview prep — 11 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: Whether they can read survival curves accurately (median survival, censoring, confidence bands, log-rank test implications) and translate statistical output into clinical meaning without oversimplification.
A strong answer: They should describe a specific curve they analyzed, name the key statistics they noted (median OS, confidence intervals, censoring patterns), explain what the curve showed clinically (e.g., treatment superiority, duration of benefit), and give a concrete example of how they explained it verbally or in writing to colleagues or clinicians.
Where people lose it: Candidates who describe only surface-level extraction ('I read the legend') or who cannot articulate what the statistical features mean clinically—or who claim to have done this work but cannot recall a real example or specifics like confidence interval interpretation.