Data Analyst & Programmer — Livestock Data Pipelines

The University of Edinburgh; City of Edinburgh; Hybrid; GBP 34,000 - 40,000; Full time

Job summary

A major UK university in Edinburgh is seeking a data processing support specialist to help with data services for the Gates Foundation. The successful candidate will write scalable code, maintain data workflows, and utilize R programming to automate tasks. This full-time role offers opportunities for hybrid working and professional growth, particularly in fields such as Machine Learning and Natural Language Processing. With a focus on collaboration, it provides a supportive environment for addressing real-world challenges.

Benefits

Generous holiday entitlement

Competitive pension schemes

Staff discounts

Family-friendly initiatives

Qualifications

• Educated to degree level in a numerical discipline such as Bioinformatics, Computer Science, or Mathematics.
• Demonstrable experience of R programming and modular code.
• Good knowledge of data science technologies and software engineering practices.

Responsibilities

• Write, run, and maintain scripts to automate and test data processing workflows.
• Ensure code is version controlled and validated.
• Support the running of livestock models and analyses.

Skills

R programming

Data science technologies

Software engineering practices

Basic knowledge of Python

Basic knowledge of SQL databases

Education

Degree in Bioinformatics, Computer Science, Mathematics or equivalent

Job description

A major UK university in Edinburgh is seeking a data processing support specialist to help with data services for the Gates Foundation. The successful candidate will write scalable code, maintain data workflows, and utilize R programming to automate tasks. This full-time role offers opportunities for hybrid working and professional growth, particularly in fields such as Machine Learning and Natural Language Processing. With a focus on collaboration, it provides a supportive environment for addressing real-world challenges.