Post Doctoral Research Associate (Fixed Term)
at University of Cambridge
Cambridge, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Feb, 2025 | GBP 45163 Annual | 09 Nov, 2024 | N/A | Good communication skills | No | No |
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Description:
Professor James Rowe is looking for a skilled and enthusiastic Post-doctoral Research Associate, to join the REAl world Dementia OUTcomes (READ-OUT) study that meets the Blood based Biomarkers Challenge from NIHR and Alzheimer’s Research UK. READ-OUT has received £4.5m funding and aims to collect and analyze blood samples from >3000 people from specialist centers representing diverse populations 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 project involves leading academic and industry partners including biochemical laboratory facilities such as the Biomarker Factory at the Dementia Research Institute.
The postholder will develop research objectives for analysis of univariate and multivariate biomarker candidates to assess their capacity for diagnosis and prognosis and overall reliability and validity. You will undertake longitudinal and prediction models of biomarker data in the context of known demographics, co-morbidities and disease variance. You will drive the project, develop and deliver its research objectives and be well equipped to present developments and key findings to relevant stakeholders. You will work within a balanced team of professionals consisting of post-doctoral scientists, clinical fellows, research governance managers and students as well as external collaborators.
For this post, you will have an undergraduate degree in Bioinformatics or Statistics with a PhD in a 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 Professor James Rowe (james.rowe@mrc-cbu.cam.ac.uk). The role will primarily be based at the Herchel Smith Building for Brain and Mind Sciences, Cambridge Biomedical Campus, CB2 0SZ.
Closing date: 2nd December 2024 Interview dates: 17th an 18th December 2024 Please apply online through the University job pages http://www.jobs.cam.ac.uk/
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
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 ZE43947 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
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Pharma / Biotech / Healthcare / Medical / R&D
Software Engineering
Graduate
Proficient
1
Cambridge, United Kingdom