Research Associate/Fellow in Statistics (Fixed Term) (SCI

This is an exceptional opportunity for a statistically-minded researcher eager to contribute to groundbreaking work in infectious disease modeling. The role offers a dynamic blend of developing novel statistical and machine learning methodologies and applying them to critical, real-world healthcare challenges.

Advantages for Potential Candidates:

• Cutting-Edge Research: You will be at the forefront of developing and applying advanced statistical and machine learning methods to complex, multi-institutional network models. This is a chance to push the boundaries of your field.
• Direct Public Health Impact: The research directly addresses pressing public health priorities such as healthcare-associated infections (HCAIs) and antimicrobial resistance (AMR). Your work will have tangible implications for situational awareness, forecasting, control measure evaluation, and cost-effectiveness analyses, influencing clinical decision-making and healthcare policy.
• Collaborative Environment: You will be part of a funded project through a NIHR Healthcare Protection Research Unit, collaborating with esteemed colleagues from the University of Oxford and the UK’s Health Security Agency (UKHSA). This offers invaluable experience in inter-institutional and inter-agency collaboration.
• Career Development and Visibility: This role provides ample opportunities to publish in high-impact journals, present findings at national and international conferences, and gain recognition for your expertise. You'll also have the chance to mentor and supervise undergraduate and postgraduate students, further honing your leadership skills.
• Inclusive and Supportive Culture: The School is committed to fostering a diverse and inclusive environment. They actively seek candidates who enhance the team's diversity and are dedicated to creating opportunities for individuals traditionally under-represented in Mathematical Sciences.
• Flexible Working: The possibility of flexible working arrangements is a significant benefit, acknowledging the importance of work-life balance.

Key Considerations for Your Career Path:

• Expertise Required: A strong foundation in statistics, machine learning, or data sciences is essential, evidenced by a PhD (or nearing completion) and demonstrable expertise in statistical modeling, inference, and relevant software like R/Python.
• Research Acumen: The role demands a confident and organized researcher capable of undertaking original research, developing proposals, and contributing to successful grant applications.
• Communication and Collaboration: Excellent communication and organizational skills are crucial for effectively disseminating findings, contributing to consortium meetings, and working within a multidisciplinary and multicultural team. An ability to network and engage with diverse groups is highly valued.
• Project Scope and Duration: This is a full-time, fixed-term position initially for 24 months, with the potential for a further 24-month extension. This offers a substantial period to immerse yourself in the project and achieve significant research outcomes.
• Academic Rigor: The expectation is to conduct research of international excellence, so a passion for high-quality academic output and a commitment to rigorous methodologies are key.

This position is ideal for an ambitious researcher looking to make a substantial contribution to public health through innovative statistical science. If you possess the required expertise and a drive for impactful research, this role presents a compelling opportunity to advance your career within a supportive and forward-thinking academic environment.