Remote Biostatistician for AI‑Driven Clinical Research

RemoteJobsOne; Manila; Remote; PHP 5,192,000 - 5,625,000; Full time

Job summary

RemoteJobsOne is seeking a Biostatistician for a fully remote contractor role focused on AI-assisted clinical research. You will apply clinical statistics expertise to train next-generation AI systems, shaping how models learn and reason with real-world data.

The role requires strong SDTM/ADaM experience, SAS/R proficiency, and a MSc/PhD in Biostatistics or closely related field. Prior leadership on pivotal studies and oncology endpoints is a plus.

Qualifications

• 5+ years as a biostatistician supporting clinical trials.
• Experience producing/quality controlling TFLs for regulatory submissions from CDISC SDTM/ADaM datasets.
• Expertise in estimands, missing-data strategies and multiplicity control per ICH E9(R1).
• Proficiency in SAS or R and reproducing analyses from specifications.
• Ability to interpret SAPs and align results with pre-specified analyses.
• Nice to have: lead statistician on pivotal studies and oncology endpoints; AI-assisted tools.

Responsibilities

• Author and review evaluation tasks deriving or validating statistical outputs from clinical datasets and TFLs.
• Assess correctness and consistency of estimates, CIs, p-values, populations, and missing data handling.
• Identify discrepancies between outputs and CSR narratives, including population definitions and rules.
• Document the derivation process to enable independent verification.
• Provide structured rationales distinguishing true errors from alternatives.
• Collaborate with the project team to refine evaluation tasks and criteria.

Skills

Biostatistics

SAS

R

Survival analysis

Missing data

Education

MSc/PhD in Biostatistics or related

Tools

CDISC SDTM/ADaM

Job description

RemoteJobsOne is seeking a Biostatistician for a fully remote contractor role focused on AI-assisted clinical research. You will apply clinical statistics expertise to train next-generation AI systems, shaping how models learn and reason with real-world data.

The role requires strong SDTM/ADaM experience, SAS/R proficiency, and a MSc/PhD in Biostatistics or closely related field. Prior leadership on pivotal studies and oncology endpoints is a plus.