Research Assistant / Research Associate in Dementia Biomarker Analysis
Lead statistical analysis and data management for multivariate dementia biomarkers at the University of Cambridge.
Best for:Best for quantitative researchers with a background in bioinformatics, statistics, or neurosciences and strong programming skills in Python, R, or MATLAB.
Overview
The University of Cambridge is seeking a Research Assistant or Research Associate to join the Department of Clinical Neurosciences under the supervision of Prof Maura Malpetti. The position contributes to a major multi-centre study investigating inflammation in frontotemporal dementia as part of the UK-wide Open Network for Frontotemporal dementia Innovation Research (ON-FIRE). The successful candidate will drive computational analyses of blood-derived data, integrate multimodal datasets with clinical records, and manage academic and industry collaborations. Applicants are expected to possess strong programming and biostatistical expertise to deliver key research objectives and present findings to stakeholders.
What you'll do
- Lead statistical analysis and data management for multivariate biomarkers from novel biochemical assays including SIMOA, NULISA, and Mass Spectrometry
- Develop computational pipelines to combine multimodal datasets, linking blood sample data with NHS digital records, longitudinal clinical data, genetics, and neuroimages
- Conduct computational analyses on biomarker data, polygenic risk score calculations, and immunophenotyping data
- Lead and coordinate academic and industry collaborations to advance study goals
- Drive project delivery, achieve core research objectives, and present key findings to relevant stakeholders
Requirements
Degree required: Undergraduate degree and/or PhD in Bioinformatics, Statistics, Neurosciences or a related discipline
Language: English
Instruction: English
- In-depth knowledge of biostatistics and related research methods
- Experience with machine learning algorithms and advanced computational modeling
- Strong programming skills using platforms such as MATLAB, R, Bash, and Python
- Proven ability to manage and analyze large multivariate datasets
Funding & terms
How to apply
Deadline: 2026-11-08
Submit an online application through the university portal including a CV, a covering letter addressing the selection criteria, and contact details for professional referees.
- CV
- Cover letter
- 3 reference letters
Contact
Maura Malpetti· Professor
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