AI should augment Medical Affairs — not replace scientific judgement
A practical framework for where generative AI genuinely helps the modern MSL.
Not a résumé — a trajectory. This is how a scientific foundation in Biotechnology became a career built around Medical Affairs, Digital Innovation and Artificial Intelligence.
I didn't set out to work in Medical Affairs. I set out to understand how science actually reaches the people who need it — and that question kept pulling me forward, one step at a time, from a lab bench to a scientific exchange with a physician, and now toward a conversation about what AI can responsibly do for that exchange.
My scientific training in Biotechnology gave me the habit that still defines how I work: start from evidence, question the claim, verify before you communicate. That habit doesn't change when the tools do.
Roles across AMGEN, PiLeJe, ESTEVE, Fresenius Kabi and Sanofi exposed me to different therapeutic areas, different organisational cultures and, increasingly, to the same core tension: how do you keep scientific engagement genuinely useful to healthcare professionals as the channels multiply?
Teaching — including sessions touching Artificial Intelligence, IoT, Telemedicine and Healthcare Innovation — taught me that expertise only creates value once it can be transferred. That's still the job of a Medical Science Liaison: translate evidence into something a clinician can use in the next five minutes of their day.
As engagement moved online, I started paying attention to what "digital" actually changes in Medical Affairs — and what it doesn't. Omnichannel isn't a new discipline; it's the old discipline of scientific engagement, extended to more surfaces, with more discipline required to keep it rigorous.
Today, as a Medical Science Liaison in Vaccines, Medical Affairs is where the science, the stakeholder relationship and the strategy meet. It's also where I think the most interesting near-term change is happening — not despite AI, but because of how deliberately it needs to be introduced.
I explore AI in Medical Affairs from a practitioner's seat, not a vendor's. The question I keep asking is narrow and practical: does this tool make scientific judgement better, faster or more available — without compromising it? If not, it doesn't belong in the workflow yet.
That's the territory this website lives in — not a portfolio of what I've done, but a working exploration, in the open, of where Medical Affairs is going next.
Rigor before hype. Every claim traced back to evidence.
Technology should reinforce — never replace — the scientific relationship.
Learn, question and experiment constantly — the field moves fast.
Don't just adapt to the future of Medical Affairs — help build it.
Knowledge gains value when it's shared — that's why this website exists.
A practical framework for where generative AI genuinely helps the modern MSL.
Cutting through the ambiguity — what Medical Affairs actually does, and why it matters.
Why the DOL concept matters for Medical Affairs strategy — and how it differs from a traditional KOL.
See the career journey in detail, or explore the community and initiatives that came out of it.