AI training contract
Biostatistician
Medicine & Health · USD 60-65 an hour. · 30 openings
Biostatistician is contract work for micro1, reviewing and correcting what AI models produce in medicine & health. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 60 to USD 65 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 30 openings on this role.
Skills named: sas, r, cdisc sdtm, cdisc adam, statistical analysis plan (sap) interpretation, survival analysis, mixed models, covariate adjustment, multiplicity control, estimand and missing-data strategies under ich e9(r1).
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP). Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria. Preferred Qualifications 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1). Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.