Location: | Cambridge |
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Salary: | £36,924 to £45,163 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 12th November 2024 |
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Closes: | 8th December 2024 |
Job Ref: | ZE44008 |
Dr Maura Malpetti is looking for an enthusiastic Post-Doctoral Research Associate to join her lab at the Cambridge University Department of Clinical Neurosciences. The post is part of a Cambridge-based program aiming to investigate inflammation in frontotemporal dementia and accelerate the development of treatments for dementia. To this end, we recently established a multi-centre study, the UK-wide Open Network for Frontotemporal dementia Inflammation Research (ON-FIRE), which involves data collection from 22 sites across the UK.
As a Post-Doctoral Research Associate, you will lead the statistical analysis and data management for multivariate biomarkers identified using novel biochemical assays including SIMOA, NULISA, Mass Spectrometry, multiomics and other data generating platforms. The role will involve computational analyses of blood-derived data - not wet-lab analyses on the samples - and leading academic and industry partners including biochemical laboratory facilities such as the Biomarker Factory at the Dementia Research Institute.
The postholder will develop pipelines to (i) centralise adjunct data from all sites to Cambridge; (ii) combine multimodal data, linking blood samples to NHS digital records, genetics and available neuroimages; (iii) format and share data through the Dementias Platform UK data portal. You will lead computational analyses on biomarkers data, polygenic risk score calculations, and immunophenotyping data. You will drive the project, develop and deliver the study's research objectives and be well equipped to present developments and key findings to relevant stakeholders.
For this post, you will have an undergraduate and/or a PhD in Bioinformatics, Statistics or related discipline. You will have in-depth of knowledge of biostatistics, and related research methods and applications. Experience with machine learning algorithms and strong programming skills using platforms such as MATLAB, R, Bash and Python will be essential.
For informal inquiries regarding the role, contact Dr Maura Malpetti (mm2243@medschl.cam.ac.uk). The role will primarily be based at the Herchel Smith Building for Brain and Mind Sciences, Cambridge Biomedical Campus, CB2 0SZ. The University values diversity and is committed to equality of opportunity. We particularly encourage women and/or candidates from a Black, Asian and Minority Ethnic background to apply for this vacancy as they are currently under-represented at this level within our University.
Please apply online through the University job pages http://www.jobs.cam.ac.uk/
Please ensure that you upload a cover letter and CV in the Upload section of the online application. The cover letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please quote reference ZE44008 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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