Research Assistant / Research Associate

**Job Description**
This position, funded by a Wellcome Trust Collaborative Award in Science, focuses on investigating the evolutionary mechanisms of resistance to ciprofloxacin during treatment for chronic lung infections caused by *Pseudomonas aeruginosa*. The primary goal is to discover resistance mechanisms and develop predictive biomarkers. The role involves developing statistical and machine learning models to identify and validate predictive biomarkers, and exploring the contribution of the host microbiome to resistance emergence using concepts from microbial and community ecology.

**Skills & Abilities**
• Experience using statistical modelling to address predictive or inferential questions in ecological systems.
• Experience evaluating model performance and generalisability, especially in ecological or health-related contexts.
• Theoretical understanding of community or microbial ecology, and experience modelling community or microbiome dynamics.
• Proficiency in implementing and interpreting statistical or ecological process models using R or Julia.
• Effective communication skills, both written and verbal, including report writing and delivering presentations.
• Experience of working as part of a collaborative team and willingness to co-supervise UG/PGT students.
• Excellent record keeping and data management skills, with appropriate IT experience.
• Ability to analyse and solve problems with an appreciation of longer-term implications.
• Ability to assess and organise resources, and plan and progress work activities.
• Proven flexible approach with the ability to prioritise workloads.

**Qualifications**
Required Degree(s) in:
• Quantitative biology discipline
• Statistics
• Machine learning

**Experience**
Experience Required:
• (Ph.D) for Research Associate, Grade 7 level, with a proven track record of research using statistical modelling or machine learning methods to tackle predictive questions.
• (BSc or MSc) for Research Assistant, Grade 6 level, with experience of research using statistical modelling or machine learning methods to tackle predictive questions.

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