Salary: Grade 6: £28,660 - £34,189 p.a.
We are looking for a capable and responsible individual who is enthusiastic about using big data to support research to improve global health. In this role you will create, deploy and run reproducible analysis workflows for large datasets bringing together clinical, epidemiological and viral genomic data for the PANGEA HIV consortium (www.pangea-hiv.org ).
Reporting to the Senior Analyst in Pathogen Genomics, you will take part in various steps of data processing: gathering, validating and curating the data, as well as develop and deploy scripts to support complex analytical tasks in collaboration with members of the research team. In addition, you will schedule and monitor processing jobs and make results available in a timely manner and develop or tailor analytical tools and resources in collaboration with members of the research team.
You must have an undergraduate degree in computer science, physics, mathematics, engineering or other quantitative discipline, or equivalent experience, together with enthusiasm for using informatics to support research and improve global health. You will have demonstrated proficiency in working under Linux/Linux-like systems as well as excellent independent problem-solving skills. A demonstrated proficiency in Python would be desirable.
This full-time position is fixed-term until 31 October 2020 in the first instance.
Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
The closing date for this vacancy is 12.00 noon on Friday 11th January 2019.