Research Assistant

University of Warwick; Coventry; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

A prominent UK university in Coventry is looking for a data scientist to join their interdisciplinary SBIDER group. Ideal candidates should be proficient in R programming and have a background in data management and analysis. The role offers opportunities for flexible working arrangements and professional development, including attendance at international conferences.

Benefits

Professional development opportunities

Flexible working arrangements

Qualifications

• Expertise in data science required.
• Proficiency in programming in R is essential.
• Previous experience in disease modelling or spatiotemporal analysis is encouraged.

Responsibilities

• Join the SBIDER group working on models of biological and ecological systems.
• Collaborate with policy makers and stakeholders.
• Engage in professional development and attend conferences.

Skills

Data management

Data analysis

Programming in R

Disease modelling

Spatiotemporal analysis

Job description

The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER)

You will join the SBIDER group in the School of Life Sciences and the Mathematics Institute at University of Warwick. We are a diverse group of interdisciplinary scientists who develop models of biological and ecological systems, and we work closely with policy makers and stakeholders in the UK and around the world.

For more information about SBIDER visit: https://warwick.ac.uk/fac/cross_fac/zeeman_institute/

For more information about the PIs research areas visit: https://warwick.ac.uk/fac/sci/lifesci/people/krysava/

We and the wider University of Warwick environment offer substantial opportunities for professional development including regular opportunities to attend international conferences.

Flexible Working

We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.

About You

We are looking for someone with expertise in data science, including data management and analysis. Applicants should be proficiency in programming in R, and we particularly encourage individuals with previous experience in disease modelling and/or spatiotemporal analysis. Prior knowledge or interest in zoonotic or vector-borne disease is welcome but not necessary.