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Anti-bribery, GDPR, pharmacovigilance, and regulatory compliance training for pharmaceutical and life sciences companies.
Pharmaceutical compliance training addresses anti-corruption, data privacy, clinical trial integrity, and global regulatory requirements.
Speaker programs, advisory boards, samples, and meals — every HCP interaction carries FCPA and Bribery Act risk.
GCP, informed consent, data integrity, and cross-border trial data transfers under GDPR.
Patient data, pharmacovigilance records, and real-world evidence all fall under GDPR and HIPAA.
Adverse event reporting obligations require trained staff across medical affairs and safety.
AI-driven drug discovery and diagnostics face high-risk classification under the EU AI Act.
Anti-counterfeiting, serialization, and third-party due diligence across global manufacturing.
FCPA and UK Bribery Act for HCP interactions, speakers, and KOL programs
Data protection for clinical trial data, patient records, and pharmacovigilance
High-risk classification for AI in drug discovery and diagnostics
Good practice regulations covering manufacturing, clinical, and laboratory operations
Reporting channels for compliance violations and safety concerns
Cybersecurity requirements for pharmaceutical manufacturing and R&D
Yes. Anti-bribery laws require training for all field-facing roles. GDPR mandates data protection awareness. GxP requires documented training records.
Yes. Our pharmaceutical compliance training covers FCPA, UK Bribery Act, GDPR, GxP, and EU regulatory frameworks across jurisdictions.
Absolutely. We build programs tailored to your therapeutic areas, field force structure, and regulatory exposure.
All employees. Sales reps need anti-bribery training, R&D needs GCP, medical affairs needs pharmacovigilance, and everyone needs data privacy.
At least annually, with additional training for new product launches, market entries, or after enforcement actions.
Tell us about your anti-bribery, clinical trial, or regulatory challenges — we'll build the right training program.