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Senior Teaching Associate (Part Time, Fixed Term)

Closing date: 
Sunday, 15 September 2024

MRC Biostatistics Unit


The MRC Biostatistics Unit in the School of Clinical Medicine invites applications for a Senior Teaching Associate (60 - 100% FTE) to join our team. We are looking for an individual with a proven track record in supporting, developing, and delivering engaging and effective post-graduate education across a range of themes covering health data sciences, epidemiology, and infectious diseases within our highly regarded Master of Philosophy in Population Health Sciences (MPhil in PHS) programme. This programme attracts outstanding students from around the globe, providing a unique opportunity to contribute to the training of future leaders in population health.

We are seeking a dedicated professional to join our world class faculty and contribute to the delivery of high-quality teaching in epidemiology, biostatistics, and infectious diseases. The successful candidate will collaborate with diverse departments and units to design and implement teaching curricula and assessments, supervise master's-level dissertation projects, and develop innovative teaching methods and technologies. The role also involves supporting both our admissions processes and our quality assurance strategies.

You will work within a cohesive administrative team, led by the Course Director, and supported by other academics, education professionals and administrators. This position offers a unique opportunity to engage with a vibrant multidisciplinary scientific community, fostering collaboration with colleagues and benefiting from a dynamic learning atmosphere.

Ideal candidates will possess a PhD in a relevant quantitative discipline, and postgraduate-level expertise in epidemiology, biostatistics, health data sciences, or infectious disease modelling, with proficiency in R/R Studio programming. Strong interpersonal, communication, and organizational skills are essential, as this role encompasses both teaching and the management of teaching activities. Join us and be part of an exciting journey to advance education and research in the population health sciences.

https://www.jobs.cam.ac.uk/job/47728/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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