Job Description
Clinical trials operate under strict standards for good reason — patient safety and scientific credibility depend on it. Chegg is seeking experienced Clinical Research professionals to serve as Consultants who will ensure our AI systems meet those same standards. You will evaluate AI outputs on trial design, regulatory documentation, and study operations, ensuring every response reflects real-world clinical research practice. Fully remote and asynchronous.
Core Responsibilities
- Evaluate AI-generated content on study protocol design, patient enrolment criteria, safety monitoring, and trial operations against ICH GCP and FDA/EMA regulatory standards
- Assess AI outputs covering primary and secondary efficacy endpoints, safety profile interpretation, biomarker analysis, and regulatory submission content
- Apply your expertise in clinical trial management — from protocol development to data readout — to verify that AI reasoning reflects practical study execution
- Review AI-generated regulatory and scientific documentation for alignment with international submission requirements and ethical standards
- Deliver structured expert feedback that helps the Chegg research team accurately target AI quality gaps in clinical research contexts
Key Qualifications
- Degree in a life sciences, medical, nursing, or clinical research field
- Experience managing or contributing to clinical trials from the sponsor or CRO side is a plus but not required
- Deep familiarity with ICH GCP guidelines and practical experience with regulatory submission documentation for FDA or EMA
- Experienced in cross-functional coordination across data management, regulatory affairs, and site operations
- High standards for accuracy, compliance, and attention to protocol detail
Nice to Have
- Professional certification in clinical research — CCRA, CCRC, CCRP, or an equivalent credential
- Oncology, rare disease, or CNS therapeutic area background
- Experience spanning Phase I through Phase IV or post-marketing surveillance
Why Chegg
- Fully remote and flexible
- Task-based commitment — typically 10–40 hours per week
- Impactful work at the intersection of clinical science and AI development
- Ongoing project opportunities for strong contributors