The summary
AI training for scientists helps R&D directors, biotech founders and scientific consultancy teams organise literature workflows, prepare grant drafts, explain findings and reduce research administration. The Oxford AI School delivers a practical half-day for up to eight people, online or in person across the UK, for 拢2,299 +VAT. The focus is better research operations, with source checking and scientific judgement built in.
The experiment is only part of the working week. There is the funding application, the partner update, the paper you need to understand before tomorrow, and the same result explained to three different audiences. We help scientific teams use AI on that surrounding work, with the scepticism you would expect from anyone handling evidence.
Take a small set of public papers you have permission to use. Ask AI for a comparison table with study design, sample, key finding, limitations and the exact source location. Verify each row. The useful output is an organised route back to the evidence, not a confident paragraph that hides where it came from.
Measure the time to produce a verified evidence table or a checked partner update, alongside the number of citation and interpretation errors caught in review. Faster work only counts if it survives scrutiny.
AI-generated references, calculations and code need verification. We use public or approved example material, keep confidential IP and unpublished results within agreed boundaries, and separate drafting from scientific validation. This is not training in clinical decision-making, specialist predictive modelling or running autonomous experiments. Your team owns the methods, interpretation and sign-off.
We work with tools such as Claude, ChatGPT, Gemini, Perplexity and Microsoft Copilot, choosing what fits the task and your approved environment. We agree priorities beforehand, practise together and leave you with reusable materials. Tool subscriptions and any integration work are discussed separately.
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The half-day gives your team a practical starting point. More advanced training is available when you have a clear workflow worth developing.
Start working on folders of approved documents and learn how to review the results.
Create reusable instructions and document workflows with explicit checks and permissions.
After the advanced foundations, develop a narrowly scoped agent with review points for research administration.
The Claude Code pathway runs from Introduction to Claude Code to Advanced Claude Code and Building Agents in Claude Code. Take the previous module or bring equivalent experience before moving up.
10 minutes. No commitment. Tell us about your team, your evidence standards and the recurring work getting in the way. We鈥檒l build the session around a useful starting point.
Yes. The half-day starts with practical generative AI workflows in plain English. A scientific background is useful for judging the output; programming experience is not required.
AI can help organise search plans and summarise supplied papers, but it can miss evidence, misinterpret findings and invent references. You remain responsible for the search strategy, source verification and final interpretation.
Yes. The session can focus on research operations, funding drafts, partner communications or explaining specialist services. We agree the scope with the founder or team leader.
We agree information boundaries first and start with public, fictional or approved material. Do not bring confidential data into a tool simply because it is convenient for a demonstration.
The half-day programme is 拢2,299 +VAT for up to eight people, delivered live online or in person. Takeaway materials and 30 days of follow-up are included. Tell us your location and requirements when you enquire so the full arrangements can be confirmed.
No. We start with the tools and the briefing habits you need for the agreed tasks. You practise on examples relevant to your team and learn to check the result. No coding is required for the half-day sector session.
Yes. We are based in Witney, Oxfordshire and deliver in person across the UK, or live online. We agree the location, practical arrangements and session priorities before booking.
Choose a deeper module based on the work you want to improve. Options include AI policy, winning business, GEO and the Claude Code pathway. Advanced Claude Code requires the introductory module or equivalent experience; Building Agents requires the advanced foundations.
Book a free 10-minute intro call through Get In Touch, or email Learn@TheOxfordAISchool.com. We discuss your team, the tasks you want to improve and the right training before confirming a date.