ppbIMPORTANT: after you apply, please check your email. /b We sendyou a link to complete your application — it is not considered until that laststep is done. If you do not see it, check your spam folder. /p pbThis is a fully remote position /b, open to candidates based in Italy. /p pbPay: /b $60–$65/hr /p pRole Type: Contractor /p pLocation: Remote /p pWe are 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. /p h3Scope of Work /h3 ul liAuthor and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). /li liApply 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). /li liIdentify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling. /li liEstablish defensible ground truth for each evaluation task,



documenting the derivation process to enable independent verification. /li liProvide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication. /li liCollaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria. /li /ul h3Preferred Qualifications /h3 ul li5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit. /li liHands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets. /li liSolid 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). /li liProficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. /li liAbility to interpret SAPs and ensure reported results are consistent with pre-specified analyses. /li liAdvanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. /li liNice 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. /li /ul /p #J-18808-Ljbffr

📌 Biostatistician (Italia)
🏢 RemoteJobsOne
📍 Italia