Clinical Research & Public Health AI Trainer

Job Title: Clinical Research & Public Health AI Trainer

Job Type: Full-time

Location: Remote

Job Summary:

Join our customer’s team as a Clinical Research & Public Health AI Trainer and harness your expertise to advance next-generation AI solutions in healthcare and public health. In this pivotal remote role, you will shape, curate, and validate AI training data while applying real-world research and clinical insights. Your contributions will ensure that AI systems reflect rigorous research standards, regulatory compliance, and actionable public health impacts.

Key Responsibilities:

1. Design, review, and optimize study protocols and research methodologies for AI training purposes.
2. Evaluate and annotate clinical and public health datasets, ensuring high-quality, representative, and relevant data for AI model development.
3. Apply advanced data analysis skills using tools such as SPSS, R, or SAS to interpret research and clinical data, translating insights into AI training objectives.
4. Ensure all AI-related processes align with Good Clinical Practice (GCP), IRB/ethics board requirements, informed consent, patient safety, and public health regulations.
5. Prepare concise reports, documentation, and presentations summarizing research findings, annotation rationales, and AI training outcomes.
6. Collaborate with interdisciplinary teams to communicate research insights, regulatory considerations, and AI model requirements to stakeholders.
7. Contribute to continuous improvement by identifying best practices for incorporating clinical and public health expertise in AI workflows.

Required Skills and Qualifications:

1. Advanced experience in study design, research methodology, and evaluation of clinical trials or public health studies.
2. Proficiency in data collection, statistical analysis, and interpretation using platforms such as SPSS, R, or SAS.
3. Deep understanding of regulatory and ethical frameworks, including GCP, IRB procedures, and public health surveillance.
4. Exceptional written and verbal communication skills with a proven ability to convey complex research findings to varied stakeholders.
5. Attention to detail in preparing documentation, reports, and dataset annotations for AI training.
6. Background in MPH, PhD in public health or epidemiology; MD, RN, PharmD, or similar clinical degree; or Bachelor’s/Master’s in Clinical Research or Life Sciences.
7. Experience with stakeholder communication, including investigators, sponsors, policymakers, and the public.

Preferred Qualifications:

1. Experience as a radiology, nursing, or laboratory professional involved in research and data-driven projects.
2. Hands-on involvement with AI model development or clinical informatics solutions is a nice-to-have; no prior experience is needed.
3. Familiarity with best practices for AI training and annotation in healthcare or public health contexts.