Clinical Trial Biostatistics AI Evaluator

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Professionals use OpenTrain to discover specialized projects, build a credible profile, and apply their expertise to work shaping how modern AI systems are developed.

Creating an OpenTrain account is free, and this opportunity is offered by OpenTrain AI as a remote contractor engagement.

• Build a professional profile centered on your AI training experience
• Discover projects that match specialized clinical and statistical expertise
• Apply through OpenTrain and grow a long-term AI training portfolio

About AI Training and Evaluation

AI training is the human side of building artificial intelligence. Experts review examples, assess model responses, and establish reliable reference answers so AI systems can produce more accurate and useful results.

In this role, your clinical statistics judgment will help evaluate whether AI-assisted clinical research work is correct, reproducible, consistent with prespecified methods, and clearly explained.

• Contribute to the development of cutting-edge AI for clinical research
• Use professional expertise to distinguish valid analyses from statistical errors
• Work remotely with a flexible, part-time contractor schedule

The Role

OpenTrain is seeking a Clinical Trial Biostatistics AI Evaluator to assess AI-assisted clinical research work. You will review statistical outputs and explanations against prespecified analysis plans, create dependable evaluation examples, and document ground truth that another reviewer can independently verify.

This is a remote, part-time contractor opportunity requiring 20 or more hours per week. The advertised hourly rate is $60-$65, and the work is available in the countries listed for the opportunity.

• Role: Clinical Trial Biostatistics AI Evaluator
• Engagement: Remote contractor and part-time
• Time requirement: 20+ hours per week
• Compensation: $60-$65 per hour
• Primary language: English

What You'll Do

You will author and review evaluation tasks involving the derivation, reproduction, or validation of statistical outputs from clinical datasets and related tables, figures, and listings. You will compare results with clinical study report narratives and identify discrepancies in populations, methods, or reported conclusions.

You will also establish defensible ground truth, document derivations, and write concise rationales explaining whether an issue is a statistical error or an acceptable methodological alternative. Collaboration with a multidisciplinary team will help refine evaluation tasks, criteria, and statistical feedback.

• Evaluate estimates, confidence intervals, and p-values
• Check analysis populations, censoring rules, multiplicity handling, and missing-data strategies
• Assess results against the applicable statistical analysis plan
• Reproduce and validate analyses from written specifications
• Review clinical study report narratives against statistical outputs
• Document derivations so results can be independently verified
• Help improve evaluation criteria and statistical feedback

Required Qualifications

This role requires substantial clinical-trial biostatistics experience and advanced quantitative training. The experience-level field identifies the opportunity as entry level, but the stated role requirements call for at least five years supporting clinical trials as a biostatistician.

You should be able to work directly with CDISC SDTM and ADaM datasets, interpret statistical analysis plans, and determine whether reported results follow prespecified analyses.

• At least five years of biostatistics experience supporting clinical trials at a sponsor, CRO, or academic trials unit
• Hands-on production or quality control of regulatory tables, figures, and listings
• Experience working from CDISC SDTM and ADaM datasets
• Proficiency in SAS and/or R
• Ability to reproduce analyses from written specifications
• Strong judgment when reviewing clinical statistical methods and outputs
• MSc or PhD in Biostatistics, Statistics, or a closely related quantitative field

Statistical Expertise

The work calls for knowledge of the statistical methods and clinical research standards used to evaluate trial analyses. Familiarity with ICH E9(R1) is valuable, particularly when reviewing estimands and strategies for handling missing data.

• Survival analysis
• Mixed models
• Covariate adjustment
• Multiplicity control
• Estimands and ICH E9(R1)
• Missing-data strategies
• Statistical analysis plans and clinical study reports

Helpful Background and Application

Additional relevant experience includes serving as lead statistician on pivotal or registrational studies, authoring or reviewing statistical sections of clinical study reports, working with oncology endpoints, or using AI-assisted statistical review tools.

If you meet the stated requirements and want to apply clinical-trial expertise to the development of AI systems, create your free OpenTrain account and apply through the opportunity.

• Lead statistician experience on pivotal or registrational studies
• Clinical study report statistical section authorship or review
• Experience with oncology endpoints
• Experience using AI-assisted statistical review tools