Wednesday 27 January 2027 | 16:30 - 18:00 | Genome Dome

The rapid evolution of genomics, data science, digital health and advanced analytical technologies is transforming how we discover, diagnose and deliver healthcare.

As these approaches become increasingly embedded across research, clinical practice and healthcare systems, the workforce must evolve to harness their full potential. 

This roundtable will explore the skills, training models and collaborative approaches required to prepare the genomic workforce for the next era of genomics. The discussion will examine current capability gaps, emerging roles and practical strategies for building a future-ready workforce. 

The conversation will focus on how organisations can support continuous learning, enable cross-disciplinary collaboration, and ensure that scientists, clinicians, bioinformaticians and healthcare professionals have the technical, analytical, ethical and clinical expertise needed to translate genomic innovation into meaningful patient impact.

Genomics Youth Professionals

Learning outcomes

  • Genomic data interpretation and analysis 
     

  • The growing role of AI in genomic workflows 
     

  • Communication and multidisciplinary collaboration 
     

  • Data governance and interoperability 
     

  • Regulatory and ethical considerations 
     

  • Clinical translation and implementation 
     

  • Bioinformatics and computational skills. 

Who should attend

This roundtable is designed for:

  • Anyone looking to better understand which skills and capabilities will be most important for staying effective and adaptable as genomics continues to evolve. 

Session outline

  • Identify the key skills and capabilities required for the next generation of genomic practice 

  • Understand current workforce gaps and barriers to implementing genomic technologies 

  • Explore approaches for developing multidisciplinary skills across clinical, scientific and computational domains 

  • Recognise the role of AI and automation within the broader genomic workforce landscape 

  • Share best practices for training, reskilling and continuous professional development 

Roundtable Hosts

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Speaker profile image for Alessandra Vigilante

Alessandra Vigilante

Reader in Bioinformatics
King's College London
Speaker profile image for Clara Cieza-Borrella

Clara Cieza-Borrella

Senior Lecturer in Molecular Biology
City St George's, University of London
Speaker profile image for Nicola Taverner

Nicola Taverner

Clinical Lead
Health Education and Improvement Wales (HEIW)
Speaker profile image for Alan Hodgkinson

Alan Hodgkinson

Senior Lecturer
King's College London
Speaker profile image for Kate Everett

Kate Everett

Reader in Human Genetics
City St George's, University of London

    Session 1 — The Future Workforce Landscape (25 minutes)

    • How are genomics, digital technologies and advanced analytics changing the roles and responsibilities of genomic professionals? 

    • Which capabilities will remain uniquely human, and how can they complement increasingly automated and data-driven approaches? 

    • What new skills and career pathways are emerging across research, diagnostics and healthcare delivery? 

    Session 2 — Identifying Skills Gaps and Challenges (25 minutes)

    • What are the biggest workforce challenges currently limiting the implementation of genomic technologies? 

    • How can we support existing professionals in adapting to rapidly evolving technologies and workflows? 

    • Where are the most critical gaps: data literacy, computational skills, clinical translation, regulatory understanding, ethical decision-making, communication, or something else? 

    Session 3 — Using AI to Upskill the Wider Healthcare Workforce for a Genomics-Enabled Future (10 minute talk)

    • As well as upskilling the genomics workforce, we also need to upskill the wider healthcare workforce to use genomics in their practice. 

    • This approach could potentially be trialled to enable the genomics workforce to upskill in AI 

    • We have developed an AI mentor to help the wider workforce understand why genomics is relevant to their practice and to signpost to education resources to enable them to upskill.

    Nicola Taverner, Clinical Lead, Health Education and Improvement Wales (HEIW) 

    Session 4 — Building a Future-Ready Genomic Workforce (25 minutes)

    • What models of education, training and continuous learning are needed? 

    • What partnerships between academia, healthcare systems, industry and professional bodies are needed to accelerate workforce development? 

    • How can we better integrate genomics, bioinformatics, data science and emerging technologies into training programmes? 

    • How can we create accessible upskilling opportunities for diverse professional groups?