Biostatistician

RemoteJobsOne; Dubai; Remote; AED 304,000 - 329,000; Full time

Job summary

RemoteJobsOne is seeking a Biostatistician contractor for remote work open to candidates based in the United Arab Emirates. The role focuses on evaluating clinical statistics for AI-assisted clinical research, requiring strong domain knowledge in biostatistics and regulatory-focused data handling.

Responsibilities include derivation and validation of outputs from TFLs, identifying discrepancies, and documenting rationale for corrections, with collaboration across a multidisciplinary project team.

Qualifications

• 5+ years as a biostatistician supporting clinical trials and related work.

Responsibilities

• Author and review evaluation tasks deriving or validating outputs from clinical datasets and TFLs.
• Assess correctness of estimates, CIs, p-values, analysis populations, and missing data handling per SAP.
• Identify discrepancies between statistical outputs and CSR narratives and population definitions.
• Establish defensible ground truth for evaluation tasks with documented derivations.
• Provide structured rationales distinguishing true errors from acceptable methodological alternatives.
• Collaborate with a multidisciplinary team to refine evaluation tasks and criteria.

Skills

Biostatistics expertise

Clinical trial statistics

Regulatory understanding

Education

MSc or PhD in Biostatistics

Tools

SAS

R

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in United Arab Emirates.

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 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

1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
2. 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).
3. 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.
4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.

Preferred Qualifications

1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
3. 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).
4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
7. 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.