EDUCATION · OUR EDUCATIONAL ARM

Supporting the next generation of researchers.

The London School of Multiomics & AI (LSMA) is the educational arm of MultiOmics Intelligence: an online school connecting biological science, multi-omics and artificial intelligence.

LONDON SCHOOL OF MULTIOMICS & AI

Build knowledge. Develop skills. Advance research.
Through professional diploma programmes and specialist online learning, LSMA helps aspiring researchers, life science graduates and healthcare professionals develop the scientific and computational understanding needed for modern biomedical research.
Multi-omics and bioinformatics

Foundations

Genomics, transcriptomics and proteomics, and the data behind them.

Omics layers

01 / PROGRAMMES

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Professional Diplomas

Structured learning pathways connecting scientific foundations with applications in multi-omics, bioinformatics and AI.

02 / ACCESS

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Online Learning

Study from wherever you are, with learning designed for an international scientific community.

03 / PURPOSE

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Research-Focused Education

Connect biological concepts, data interpretation and computational approaches to meaningful research questions.

AREAS OF LEARNING

Four fields at the frontier of biomedical research.

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Multi-omics & bioinformatics

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AI & biomedical data science

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Cancer research & molecular medicine

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Drug discovery & precision health

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WHO IS IT FOR?

Built for people entering the field.

Aspiring and early-career researchers, life science graduates, pharmacists and healthcare professionals seeking to build their expertise at the intersection of biology, data and AI.

INTERNSHIP PROGRAMME

Gain real project experience, from anywhere.

Our remote internship programme runs twice a year. Interns work alongside the team on multi-omics and AI projects and finish with experience they can show.

Fully remote

Work from anywhere

3 to 6 months

Length of placement

Twice a year

January and July intakes

Open to anyone

Unpaid programme

WHAT YOU CAN WORK ON

01

Multi-omics analysis

Genomics, transcriptomics, single-cell, proteomics and metabolomics data: quality control, analysis and interpretation.

02

AI and machine learning

Building, testing and validating models on biological data, from features to results.

03

Bioinformatics practice

Reproducible workflows, clean code and clear documentation of methods.

04

Communicating results

Figures, short reports and presenting findings, with feedback from the team.

INTAKES

Jan

INTAKE

Feb

Mar

Apr

May

Jun

Jul

INTAKE

Aug

Sep

Oct

Nov

Dec

HOW TO APPLY

Email us to apply for the January or July intake. Include a short introduction, your CV and the area you are most interested in.

Apply by email

Apply by email

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CONTINUE YOUR LEARNING JOURNEY

Discover your next step with LSMA.

Explore current and upcoming programmes, entry requirements and enrolment information on the school website.

www.lsma.co.uk

Explore LSMA Programmes

Explore LSMA Programmes

START A CONVERSATION

What are you working on?

Discuss your research question and the support you need.

Discuss Your Project

Discuss Your Project