Job Description
Pharmaceutical and biotech research demands an exceptional standard of data integrity and regulatory compliance — and AI operating in these environments must meet the same bar. Chegg is recruiting Life Sciences professionals with GxP expertise to serve as Consultants who will verify AI accuracy on regulated data governance, clinical research standards, and scientific documentation. Fully remote and asynchronous.
Core Responsibilities
- Verify the accuracy, lineage, and auditability of AI-generated content on research and clinical datasets against GCP, GMP, and FDA data integrity requirements
- Assess and refine AI data policies covering classification, access control, metadata standards, and security protocols used in regulated research environments
- Identify compliance failures, scientific inaccuracies, and governance shortfalls in AI-generated material covering regulatory submissions and clinical trial documentation
- Work asynchronously with scientific and compliance stakeholders to align AI data quality standards with genuine regulatory and analytical requirements
- Supply evidence-based critique that improves how Chegg’s AI handles sensitive research data and regulatory filing content
Key Qualifications
- Degree in Life Sciences, Biotechnology, Biomedical Engineering, or Pharmacy — Master’s or PhD strongly preferred; relevant experience in a GxP-regulated environment is a plus but not required
- Deep working knowledge of GCP, GMP, and FDA data integrity expectations as they apply to sponsored research and clinical operations
- Uncompromising attention to scientific accuracy and regulatory correctness
- Clear written communicator; self-directed; reliable
Nice to Have
- Familiarity with CDISC standards, eCTD structure, or electronic data capture platforms used in clinical trials
- Background in bioinformatics, genomics research, or translational medicine
- Prior work on AI data annotation or quality-assurance projects
Why Chegg
- Fully remote and flexible
- Task-based commitment — typically 10–40 hours per week
- High-precision AI work in a technically demanding domain
- Potential for long-term ongoing engagement