Use advanced clinical-trial biostatistics expertise to create synthetic patient data, build SDTM and ADaM outputs, and evaluate AI-generated analyses. This remote contract pays $120 to $170 per hour and is open in the US, Canada, and France.
Medical & Health
Remote Hourly · $120–$170/hr
$120–$170/hr
Compensation
3 countries
Eligibility
Entry
Experience
Aug 28, 2026
Posted
Open to applicants in
United States Canada France
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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps experts discover projects, build a professional profile, and apply in minutes to work shaping how modern AI systems are developed.
Creating an OpenTrain account is free. In this role, you will bring specialized clinical-trial biostatistics expertise to AI training work designed to assess whether an AI system can perform rigorous analytical tasks.
Remote contract opportunity
Open to candidates in the United States, Canada, or France
Part-time engagement with a standard 40-hour-per-week option
Pay of $120 to $170 per hour
About AI Training Work
AI training is the human side of building artificial intelligence. Experts prepare examples, review outputs, and create structured evaluation standards so AI systems can perform useful work accurately and consistently.
This position applies that process to clinical-trial biostatistics. Your analyses, synthetic datasets, prompts, golden outputs, and rubrics will help measure an AI agent's ability to complete comparable biostatistical work.
Contribute to cutting-edge AI development
Apply specialist knowledge to realistic analytical workflows
Evaluate AI-generated work against defined standards
Work remotely with flexible availability
The Role
OpenTrain is seeking a Clinical Trial Biostatistics AI Training Expert to create realistic synthetic patient-level clinical-trial data and transform it through SDTM and ADaM into TLF outputs. You will contribute across complete analytical pipelines and individual biostatistics tasks while ensuring that every figure reconciles to its underlying source data.
The work combines clinical-trial data transformation with structured AI evaluation. You will translate an existing statistical analysis plan into reliable data transformations and outputs, then create prompts, golden outputs, and rubrics that assess AI-generated biostatistical work.
Clinical-trial focus spanning Phase 1 to Phase 3 pre-market studies
Work across SDTM, ADaM, and TLF layers
Subject matter: clinical-trial biostatistics
Contractor and part-time engagement
What You'll Do
You will build realistic, clinically coherent examples and complete the transformations and analyses needed to produce trustworthy outputs. The role requires careful reconciliation between results and source data, along with sound judgment when defining how AI work should be evaluated.
Simulate realistic raw patient-level clinical-trial data
Transform raw data through SDTM and ADaM
Produce TLF outputs and reconcile each figure to its source data
Translate an existing statistical analysis plan into data transformations and outputs
Develop prompts for AI biostatistics workflows
Create golden outputs and evaluation rubrics
Assess AI-generated analytical work against defined standards
Required Qualifications
You must have a master's degree in biostatistics or statistics and at least five years of professional biostatistics experience. Doctoral training is preferred, as is 10 to 25 years of experience.
The listing is categorized as entry level, but the described work has substantial specialist requirements. Candidates must be able to work independently across clinical-trial data standards, analysis pipelines, synthetic data generation, and evaluation design.
Master's degree in biostatistics or statistics
At least five years of professional biostatistics experience
PhD or other doctoral training preferred
Ten to 25 years of experience preferred
Hands-on SDTM, ADaM, and TLF experience
Experience across Phase 1 to Phase 3 pre-market clinical trials
Ability to work from an existing statistical analysis plan
Ability to produce realistic and clinically coherent synthetic data
Ability to assess analytical outputs against defined standards
Judgment to design AI prompts, golden outputs, and evaluation rubrics
Schedule, Location, and Pay
This is a remote contract role for candidates located in the United States, Canada, or France. The minimum availability is 20 to 25 hours per week, with 30 or more hours preferred. The standard engagement is 40 hours per week.
Minimum availability: 20 to 25 hours per week
Preferred availability: 30 or more hours per week
Standard engagement: 40 hours per week
Hourly pay range: $120 to $170
Eligible locations: United States, Canada, and France
Working language: English
Why Build an AI Training Career
AI training and data-labeling work is a rapidly growing part of the technology industry. Modern AI models depend on people who can prepare high-quality examples, review model behavior, and establish reliable standards for performance.
Specialists can use this work to apply their professional knowledge to advanced AI systems while working remotely and choosing a schedule that fits their availability. OpenTrain helps you build a profile and grow a lasting portfolio of AI training experience.
Work from anywhere with an internet connection and suitable device
Apply specialized professional expertise to AI development
Choose flexible part-time availability when projects allow
Build a portfolio of experience shaping AI systems
How to Apply
Create a free OpenTrain account, build your profile around your clinical-trial biostatistics experience, and apply to this contract opportunity in minutes. Highlight your SDTM, ADaM, TLF, statistical analysis plan, synthetic-data, and AI-evaluation experience.
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