Research Assistant/Associate - Critical Challenges in Antimicrobial Resistance (AMR)

Research Assistant/Associate - Critical Challenges in Antimicrobial Resistance (AMR)

Newcastle University

Newcastle, United Kingdom

GBP 33,951 - 37,694 per year

We are seeking a highly motivated and skilled Research Assistant/Associate to join our interdisciplinary team tackling critical challenges in antimicrobial resistance (AMR).

Key Accountabilities

• Develop models to predict AMR/transmission and to identify biomarkers for diagnostics and therapy
• Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages)
• Collaborate closely with project partners (Philippines, Vietnam and University of West London, UK) to analyse results, gather relevant data for modelling, and ensure accurate data collection
• Analyse data, interpret results and compile findings into detailed reports for regular project team meetings and wider dissemination
• Coordinate all aspects of assigned research projects, ensuring timely delivery of milestones and adherence to established protocols and timelines. This includes contributing to project planning and risk assessment
• Design, organise and facilitate workshops and training courses to disseminate research findings and best practices to the wider team
• Prepare high-quality manuscripts suitable for submission to leading peer-reviewed research journals
• Maintain consistent, proactive communication with project partners to ensure all specifications and deliverables are met, tracked, documented, and proactively addressed any challenges or deviations from specifications
• Contribute to the efficient operation of the laboratory, aligning activities with the Principal Investigator’s direction and priorities

The Person

Knowledge, Skills and Experience

• Solid knowledge and practical experience in developing models (e.g., statistical modelling, Artificial Intelligence/Machine Learning)
• Experience in computational biology and bioinformatic analysis
• Proven ability to write detailed, technically accurate reports on complex research topics, adhering to established scientific writing standards
• Capacity to undertake independent research work and effectively collaborate with team members
• Ability to assess complex problems, analyse data critically, and propose innovative solutions
• Strong organisational skills with the ability to plan and organise work effectively and generate comprehensive reports

Desirable

• Experience in advanced computational work involves protein structure prediction
• Publications in high impact factor journals
• Knowledge and experience in AMR, Artificial Intelligence in health and food systems
• Good laboratory skills encompassing cell culture, molecular biology, metagenomic sequencing technologies
• Experience in handling microbial pathogens

Attributes and Behaviour

• Excellent (written and verbal) communication and teamwork skills
• Detail-oriented and highly organised
• Ability to work independently and as part of a multidisciplinary team
• Strong problem-solving abilities
• To be courteous with the Supervisor and all other members of the team

Qualifications

• A degree (or equivalent) in Biology, Microbiology, Bioinformatics, Computer Science, Data Science, Biological Sciences or related subjects
• PhD (or near to completion for appointment at Research Assistant) in Computational Biology, Microbiology, Bioinformatics, Computer Science, Data Science, Biological Sciences or related subjects for appointment at Research Associate