Biostatistician

RemoteJobsOne; Madrid; A distancia; EUR 73.000 - 79.000; Jornada completa

Descripción de la vacante

RemoteJobsOne is seeking a Biostatistician for a fully remote contractor role open to candidates based in Spain. You will contribute clinical statistics expertise to AI-assisted clinical research, applying your domain knowledge to train next-generation models while working from home.

The role emphasizes evaluating statistical outputs, ensuring alignment with the SAP, and communicating results clearly. A MSc/PhD in Biostatistics and experience with SAS or R are preferred.

Formación

• 5+ years as a biostatistician in clinical trials.
• Experience producing or quality checking TFLs for regulatory submissions.
• Knowledge of survival analysis, mixed models, multiplicity control, and missing data strategies.

Responsabilidades

• Author and review evaluation tasks deriving/validating statistical outputs from datasets and TFLs.
• Assess correctness of estimates, CIs, p-values, populations per SAP.
• Identify discrepancies between outputs and CSR narratives; document derivations for verification.
• Provide written rationales distinguishing true errors from acceptable alternatives.
• Collaborate with project team to refine evaluation tasks and criteria.

Conocimientos

Biostatistics

Analytical

Communication

Educación

MSc or PhD in Biostatistics

Herramientas

SAS

R

Descripción del empleo

This is a fully remote position, open to candidates based in Spain.

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.