Clinical Researcher Contract Remote NEW

Job Summary

This hourly, remote contractor role requires you to act as a Clinical Researcher Subject Matter Expert (SME) to review AI-generated clinical research and biomedical content, as well as create expert research content. You will evaluate the reasoning quality and step-by-step scientific problem-solving in AI responses while providing precise written feedback. Responsibilities include assessing solutions for accuracy, clarity, safety, and adherence to prompts; identifying errors in study design, statistics, endpoint selection, bias/confounding, clinical trial methodology, and evidence interpretation; fact-checking medical and scientific claims; writing high-quality explanations and model solutions that demonstrate correct research reasoning; and rating and comparing multiple responses based on correctness and reasoning quality.

Key Responsibilities

• Develop AI training content by creating detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication.
• Optimize AI performance by evaluating and ranking AI responses to improve correctness, rigor, clarity, and contextual relevance.
• Ensure model integrity by testing AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases.

Your Profile

• Bachelor’s degree (or higher) in a relevant field (e.g., Public Health/MPH, Epidemiology, Biostatistics, Clinical Research, Biomedical Sciences, PharmD, MD/DO, RN, or related).
• 5+ years of professional experience in clinical research (academia, hospitals, CROs, biopharma, public health research, or similar).
• Strong command of clinical research fundamentals: study design, endpoints, inclusion/exclusion criteria, power/sample size intuition, and interpretation of results.
• Comfortable evaluating statistical reasoning (effect sizes, confidence intervals, p-values, multiple comparisons, missing data, sensitivity analyses).
• Deep understanding of bias, confounding, and causality (randomization, blinding, selection bias, measurement bias, survivorship, collider bias).
• Familiarity with clinical trial operations concepts (protocols, deviations, AE/SAE logic, data quality, monitoring) and/or GCP principles is a plus.
• Exceptional attention to detail when fact-checking; minimum C1 English proficiency with strong scientific writing.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, medical/scientific editorial QA, systematic reviews, or guideline work is strongly preferred.

Important Notes

There is no immediate project for this role. Qualified candidates may be contacted first when relevant opportunities arise and may gain access to future projects through the expert network.

How to apply

Apply online at: https://www.linkedin.com/jobs/view/4454096676/
Original listing source: LinkedIn / External recruitment platform.