Workshop: Computational Biology Upskilling 

Wednesday June 3 | 11:30am - 1:00pm | Room 50

Level up your bioinformatics toolkit and gain the practical skills to tackle modern data with confidence.

As life science R&D becomes increasingly data-intensive, computational biology is a core capability across discovery, translational research and clinical development.

This session focuses on how scientists can upskill pragmatically in computational biology, whether to transition roles or to become more effective in hybrid teams. 

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Workshop leaders

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Speaker profile image for Sarah Spencer

Sarah Spencer

AD & Senior Principal Data Science, Novartis
Speaker profile image for Meixue Duan

Meixue Duan

Senior Expert, Data Science, Novartis

    What to expect

    • Access the main data types through the new Ensembl: genomes, genes, genetic variation and regulatory data.
    • Explore genomic regions and features in the latest genome assemblies.

    • Browse the help and documentation for applications and datasets on the new Ensembl genome browser.

    Who should attend

    • Researchers, bioinformaticians and data scientists working with genomic datasets.

    • PhD students and early-career scientists developing practical skills in genome browsing and annotation.

    • Anyone who regularly uses Ensembl and wants to get up to speed with the new platform.

    • Life science professionals who need to explore genomic regions, variation or gene-level features in their work.

    What to expect

    • This is a practical, interactive workshop taking participants through the new Ensembl interface in real time.

    • Working in the browser, you’ll explore real datasets, complete guided tasks and ask questions throughout.

    • Expect a hands-on learning environment with opportunities to pause, discuss challenges and deepen your understanding step by step.

    What the conversation will focus on

    An Introduction to Data Science

    • Overview of the data science field 

    • Career opportunities and roles (Data Scientist, Analyst, Engineer, etc.) 

    • Prerequisites: Skills and mindset required 

    Specialization Area 

    • AI and deep learning 

    • Big data tools  

    • Domain-specific applications 

    Creating a Career Transition Plan 

    • Upskilling resources: Online courses, bootcamps, certifications

    • Building a portfolio: Kaggle competitions, GitHub projects  

    • Networking and job-hunting strategies 

    Express your interest in attending the workshop: Computational Biology Upskilling 

    Please be aware that there are only a limited amount of places available. Attendance is limited to approved Festival attendees only. Please select this workshop when registering for your place.

    All registrations will be reviewed by the organising committee and approved participants will receive confirmation and event details.

    Please contact info@frontlinegenomics.com if you have any questions.