Biostatistician
Job Summary
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This is a fully remote position open to candidates based in United Kingdom.
Pay: $60$65/hr
Role Title: Biostatistician
Role Type: Contractor
Location: Remote
We are engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical this role youll 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.
How to apply
Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.