Clinical Researcher

Key Responsibilities

• Create detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication.
• Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance.
• Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases.

Requirements

• 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.