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Data Analyst Programmer

2 months ago


Edinburgh, Edinburgh, United Kingdom The University of Edinburgh Full time
About the Role

We are seeking a highly skilled and motivated individual to join our team as a Data Analyst Programmer at the Royal (Dick) School of Veterinary Studies, University of Edinburgh. The successful candidate will play a crucial role in supporting the SEBI-Livestock team in transforming and importing livestock data into the SEBI-L platform.

Key Responsibilities
  • Write, run, and maintain scripts to automate and test data processing workflows;
  • Ensure code is version controlled, validated, and robust in collaboration with other team members;
  • Support the automating and running of livestock models and analyses;
  • Develop data visualization skills and work on projects in Machine Learning and Natural Language Processing.
Requirements
  • Educated to degree level in a numerical discipline such as Bioinformatics, Computer Science, Mathematics, or equivalent;
  • Demonstrable experience of R programming and modular code;
  • Basic knowledge and experience of Python and SQL databases;
  • Good knowledge and experience of data science technologies and of good software engineering practices including use of version control and implementation of unit and integration tests;
  • An interest in exploring the application of new technologies including Natural Language Processing and Machine Learning.
About Us

The University of Edinburgh is a world-leading research-intensive university that is committed to excellence in research, teaching, and innovation. The Royal (Dick) School of Veterinary Studies is a leading centre for veterinary education, research, and clinical practice. SEBI-Livestock is a dynamic and innovative organisation that is part of the University of Edinburgh, and we are seeking a talented individual to join our team.

This is a full-time position (35 hours per week), and we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. The post holder is expected to attend our weekly in-person team meetings at Easter Bush Campus. The post is available on a 12-month fixed-term contract basis, with potential for extension.