AI in Life Sciences

AI in Life Sciences is the course a pharma, biotech or contract research organization can ask every associate to take once a year. It is not a tools course and it is not a lecture. Every lesson opens with the rule that protects the patient, the sponsor and the company, and then shows the productive use of AI that fits inside the rule — in whichever assistant your company has approved: Claude, ChatGPT, Gemini, Microsoft Copilot or an enterprise tool built on one of them. Six colleagues at a mid-size CRO carry the examples: Marisol, an executive assistant; Devon, a clinical research associate; Priya, a clinical data manager; Tomas, a biostatistician; Amara, a drug-safety associate; and Ken, a VP of clinical operations. You follow their decisions and then make your own. Level 1, Foundations, is the compliance core for every associate: how these tools really work and how they fail, the four house rules, patient data, sponsor and company data, records and data integrity, asking well and checking always, the everyday tasks that are safe, and ethics, bias and how to raise a concern. Level 2, Practitioner, is role work: a module each for administrative and operations roles, clinical operations and clinical data, and data science and technology, ending with a real, verified piece of your own work. Level 3, Leader, is for executives, managers and anyone who approves an AI use: the FDA, EMA and ICH positions on AI, the EU AI Act and privacy law, the standards and frameworks, how to govern AI inside a GxP organization — policy, inventory, risk tiers, vendors, contracts, incidents, monitoring — and how to lead adoption with a business case, a culture plan and an annual cycle. Four house rules run through every lesson: verify before you rely; protect what is not yours to share; disclose when AI helped; you stay accountable. Every regulatory statement names the document it comes from and carries the date it was checked. Each level ends with a quiz and a capstone you upload — scored against a published five-row rubric — and a credential with a number anyone can check on our public verification page.