[Remote] Clinical Researcher
Note: The job is a remote job and is open to candidates in USA. SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies. They are seeking a Clinical Researcher Subject Matter Expert to evaluate AI-generated clinical research content and create expert research content, ensuring accuracy and clarity in scientific problem-solving.
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
- 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)
- 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
- Familiarity with clinical trial operations concepts (protocols, deviations, AE/SAE logic, data quality, monitoring) and/or GCP principles is a plus
- Prior experience with AI data training/annotation, medical/scientific editorial QA, systematic reviews, or guideline work is strongly preferred
Benefits
- If qualified, you will be among the first experts we reach out to when relevant opportunities arise
- Access to future projects available through our expert network
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