Clinician Coders Programme

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The Clinician Coders Programme is based on the successful SysMIC online course in maths and computing for biomedical scientists.

 

The Clinician Coders programme will enable clinical academics to effectively use data science to complement their existing research. The programme combines e-learning in basic informatics with face-to-face problem solving sessions to cement learning and foster multidisciplinary working.

 

All of the course materials are based on real clinical research data used with permission from academic and private sector partners. We aim to inspire and excite students by using real data and solving real problems.

This course will also help participants to:

  • Understand the basics of data science and coding;
  • Apply learning to research;
  • Separate yourself from the pack in your next fellowship application;
  • Enhance existing collaborations or start new ones;
  • Align with funders’ interests in data science.

The latest SysMIC Module 1 cohort started in November 2017 with 193 participants

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The latest SysMIC Module 1 cohort started in November 2017 with 193 participants

 

Participants came from 4 separate Medical Research Councils, 11 separate Doctoral Training Partnerships, The Francis Crick Institute and independent participants.

 

The next SysMIC Module 1 cohort will start in the spring.  Please register your interest or send any queries to us at sysmic-team@sysmic.ac.uk

Network Medicine: A Clinician Coders Workshop at UCL, 18 September 2017

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20 Clinicians coding

20 Clinicians coding

Gerold Baier, Colbi Benari, Pouria Hadjbagheri and Felipe Fouto

Gerold Baier, Colbi Benari, Pouria Hadjbagheri and Felipe Fouto

Network Medicine: A Clinician Coders Workshop at UCL
18 September 2017

ParoXysmic and the UCL Academic Careers Office ran a Clinician Coders workshop on Network Medicine for 20 UCL clinical academic trainees on 18 September 2017. The Workshop combined web-based training materials on a bespoke eLearning Environment and covered MATLAB programming with face-to-face problem solving sesions.