The Cambridge Centre for Data-Driven Discovery (C2D3) in conjunction with the Bioinformatics Training Facility within the School of Biological Sciences is seeking to recruit a Teaching Associate to support the development and delivery of a portfolio of Data Science (predominantly machine learning) focussed training materials at the University of Cambridge. This is a part time role of 25.9 hours per week, fixed term for 3 years in the first instance.
Specific responsibilities will include:
Through a combination of project work, material development and the delivery of day-to-day training and support, this role will provide an environment where all students and research staff from across the six University Schools are able to access training and support services that enables them to fulfil their academic, research and personal development goals.
The post holder will be based in the Bioinformatics Training Facility. Reporting to the head of the Bioinformatics Training Facility; the postholder will be involved in the day-to-day activities of the team leading the development and delivery of training courses at the University.
This is a key role within a growing area and the team is seeking to expand its training provision. This opportunity is suited to an individual looking for the next stage in their career and this is an excellent opportunity for advancing a career in teaching as a Teaching Associate.
The successful candidate will hold a PhD in a relevant scientific discipline, or equivalent demonstrable experience. They should have an excellent understanding of data science, machine learning and their applications across multiple subject domains as well as appropriate knowledge of related data science topics. Excellent interpersonal and communication skills will be required in order to both liaise with other academic staff as well as deliver training to participants. Enthusiasm for providing high quality teaching resources is essential too.
We welcome applications from individuals who wish to be considered for flexible working arrangements.
We particularly welcome applications from women and /or candidates from Black, Asian and minority ethnic backgrounds for this vacancy as they are currently under-represented at this level in our University.
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Informal enquiries are welcome and should be direct to Dr Matt Castle email@example.com
Please quote reference PC36559 on your application and in any correspondence about this vacancy.
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