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The Oxford Biomedical Data Science Training Programme delivers training in the skills and methods required for the analysis and interpretation of large-scale biomedical datasets, particularly genomic and functional genomic data.

The OBDS programme was established in 2018 with funding from Wellcome, the Cancer Research UK Oxford Centre and the NIHR Oxford Biomedical Research Centre. To date the programme has trained over 100 biomedical researchers, who have benefited from the course in different ways (see testimonials).

This unique programme runs three times per year, with timings aligned to the University of Oxford terms. The programme delivers  face-to-face online lectures, tutorials and group exercises. Our multi-week format and small group size enable us to go step-by-step through real world scenarios from setting up software environments to processing data and visualisation of results. The interactive format encourages participants to lead group exercises; quickly building the confidence and resilience required for independent work.  Courses usually run 9.30am-4pm Monday to Friday.  

In Autumn 2022, we will be running a number of short courses on different topics including using the Linux command line for Genomics, Python programming and data science, and R for data science and genomics. These introductory courses are aimed at biomedical scientists with little or no previous training in computational biology. 

The Cancer Research UK Oxford Centre offers two fully funded places per course. To be considered for CRUK funding,  candidates research projects must be cancer research focused and applicants must be CRUK Oxford Centre members (you can sign up here). CRUK funding will be allocated by representatives of the Centre Management Group on the basis of both application quality and fit with Centre strategy (details of which can be found here).

We hope to open applications for Autumn 2022 courses in late June.

 For more information please contact david.sims@imm.ox.ac.uk

 

Upcoming Courses

Course Duration Dates
Genomics on the Linux command line

1 week

Autumn 2022

Python programming and data science 2 weeks Autumn 2022
R for data science and genomics 2 weeks Autumn 2022
Introduction to single-cell RNAseq data analysis using R 1 week Autumn 2022

 

More details to be announced in June 2022