Clinical Researcher

Job Title 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. Key responsibilities Develop AI Training Content: Create detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication. Optimize AI Performance: Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance. Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases. Skills & technologies Evidence-Based Medicine clinical trial design English Regulatory/GCP Awareness Data Interpretation Literature Review Bias & Confounding Study methodology Epidemiology Biostatistics SME Careers