Workshop: Optimising Your CV in the AI Era

As the life science industry is increasingly relying on AI-enabled applicant tracking systems (ATS) and skills-based screening, CVs are now being evaluated by algorithms. This workshop helps life science professionals understand how AI scans, ranks, and filters CVs and how to present their experience and skills in a way that is both machine-readable and scientifically credible. 

The focus is on optimising CVs without diluting scientific depth or relevance. 

This workshop aims to cover: 

1. How AI and ATS read CVs: 

• Key word extraction, skills inference, role similarity, and experience weighting. 
• Common failure points for CVs, e.g., PDF formatting, dense publications lists, etc. 

2. Structuring life science CVs for machine readability 

• Clear section hierarchy (skills, experience, methods, tools, etc.) 
• Avoiding layouts that break AI parsing (tables, graphics, etc.) 
• Translating academic and industry experience into AI-recognisable signals. 

3. Desirable skillsets 

4. AI, digital and data literacy for non-AI roles 

5. How to present publications, patents, and posters in an AI-screened CV