Clinical Researcher

SME Careers; Singapore; Remote; SGD 96,000 - 165,000; Full time

Job summary

SME Careers in Singapore is seeking a Clinical Researcher SME to review AI-generated clinical content and write expert research explanations. This hourly remote contractor role focuses on evaluating reasoning, study design, endpoints, bias, and evidence interpretation.

You will provide precise feedback, identify errors, and produce high-quality explanations and model solutions to help improve AI training data and scientific communications across time zones.

Qualifications

• Bachelor’s degree in a relevant field (Public Health, Epidemiology, Biostatistics, Clinical Research, Biomedical Sciences, PharmD, MD/DO, RN).
• 5+ years of professional experience in clinical research across academia, hospitals, CROs, biopharma, or public health research.
• Strong command of clinical research fundamentals: study design, endpoints, inclusion/exclusion criteria, power/sample size intuition, interpretation of results.

Responsibilities

• Develop AI training content: create prompts and gold-standard answers across clinical research methodology and scientific communication.
• Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance.
• Test AI outputs for inaccuracies, bias, unsafe recommendations, and reliability across use cases.

Skills

Clinical research

Statistical reasoning

Scientific writing

Decision making

Education

Bachelor’s degree in Public Health or related field

Job description

In this hourly, remote contractor role, you will work as a Clinical Researcher Subject Matter Expert (SME) to review AI-generated clinical research and biomedical content and/or create expert research content, evaluating reasoning quality and step-by-step scientific problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in study design, statistics, endpoint selection, bias/confounding, clinical trial methodology, and evidence interpretation; fact-check medical and scientific claims; write high-quality explanations and model solutions that demonstrate correct research reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your clinical research expertise directly helps improve the world’s premier AI models by making their evidence appraisal, trial interpretation, and research communication more accurate, reliable, and clearly explained.

Important

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

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.

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.