Research Associate in Molecular Neuroscience

Vacancy Reference Number
Closing Date
20 Jan 2022
Research Associate in Molecular Neuroscience
University of Oxford
Full-time for a fixed-term until 31 December 2024 in the first instance

We are seeking an ambitious and highly motivated post-doctoral scientist to work in a programme of research that aims to investigate molecular mechanisms that underpin the pathogenesis of Parkinson’s disease.  The study will involve the use of CRISPRi screens to elucidate molecular mechanisms in iPSC-based models.  As such the post will offer an excellent opportunity for mechanistic research and drug target identification in Parkinson’s disease using state-of-the art models and facilities available at the Kavli Institute for Nanoscience Discovery and the Nuffield Department of Clinical Neurosciences at the University of Oxford.

The postholder will use established lab protocols to differentiate iPSC into neurons and glia and analyse scientific data to test new hypotheses.  They will also perform experiments involving imaging using confocal microscopy and act as a source of information and advice to graduate students on scientific protocols and experimental techniques.  The postholder will also be responsible for presenting research, writing up results for publication and manage their own academic research and take initiatives.

It is essential that the successful candidate has a PhD/DPhil or equivalent and publications with emphasis on quality.  It is also vital that the postholder has drive and enthusiasms to both lead a project and work as a member of a team as well as a previous use of biochemical techniques in mechanistic studies.  Proven track record in cell culture, ideally iPSC-based models and imaging and in molecular biology including cloning, and ideally CRISPR/Cas9 is also necessary.  It would be beneficial if the postholder has knowledge in proteostasis pathways and modelling of protein aggregation.

The post is full-time for a fixed-term until 31 December 2024 in the first instance.

Only applications received before 12.00 midday on 20th January 2022 will be considered.

Interviews will be held as soon as possible thereafter.