Biotechnology and Life Sciences
Biotechnology and Therapeutics | Life Science Tools and Diagnostics | Pharmacovigilance and Drug Safety
Put Generative Artificial Intelligence to Work Without Lowering the Evidence Bar
Life-sciences teams need more than fluent output. They need practical ways to apply artificial intelligence to real work, verify what it produces and recognize where scientific, regulatory and professional judgment must remain in control.
Gen AI Academy delivers hands-on training for biotechnology leaders, scientists and cross-functional teams. Participants work in the selected large language model, applying what they learn to exercises drawn from their roles and priorities.
What Participants Have Practiced
In completed life-sciences workshops, participants have used large language models to:
Synthesize scientific literature and competitive developments, with sources identified for human verification.
Draft assay summaries, study protocols and scientific captions for expert review, and support data-analysis coding.
Explore regulatory and drug-safety research while practicing privacy and compliance checks.
Pressure-test strategic assumptions and prepare decision briefs, plans and board materials.
Prototype reusable assistants and workflows for scientific and business functions.
Gen AI Academy facilitates the instruction, exercises and feedback. Participants provide the domain expertise, perform the work and determine whether the output is accurate and fit for use.
How We Tailor the Training
Exercises can be adapted for executives, scientists and teams in regulatory affairs, drug safety, finance, legal, human resources, information technology, operations, marketing and communications. Discovery helps us select examples that match participants' responsibilities, platform and experience.
Responsible Use in Life Sciences
Training reinforces the use of approved platforms and appropriate controls for confidential, proprietary, patient and study information. Participants verify material claims, quotations, citations and calculations, and apply qualified scientific, clinical, regulatory or legal review before generated material informs a consequential decision or deliverable.
Artificial intelligence output remains working material. It is not a validated scientific finding, clinical conclusion or regulatory determination.
Relevant Training Experience
Gen AI Academy has delivered more than 20 biotechnology and life-sciences workshops: 15 for teams from 13 organizations and seven for executive communities. Our experience spans therapeutics, life-science tools and diagnostics, and pharmacovigilance and drug safety.
“In half a day, GAIA helped us build 8 bots to streamline HR, Finance, Operations, IT, and more.”
Bethany Van Veen, Chief Executive Officer, Perspective Pharmacovigilance
Start with a Conversation
Tell us who will participate, which platform they use and where stronger artificial intelligence skills would create value. We will tailor the workshop to their roles and priorities.
