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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.

University of Cambridge · Cambridge, United Kingdom · R2 · Recognised researcher
More professors at University of Cambridge
frontotemporal dementianeuroinflammationbiomarkersmultiomicsbiostatistics
This is a research staff position — not a PhD studentship.
Deadline
Nov 8, 2026
18 days
Funding
Salaried
£33.0k–£46.0k/yr
Start date
flexible
Fixed-term
Location
Cambridge
United Kingdom

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.

bioinformaticsstatisticsneurosciencebiomarker analysismachine learningpolygenic risk scoreimmunophenotypingmulti-centre study

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

Required skills
  • 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
Nice to have
Experience working with blood-derived biomarker data or multiomics platformsFamiliarity with linking clinical longitudinal data to digital health recordsBackground in neurodegenerative disease research, specifically frontotemporal dementia

Funding & terms

Type
Salaried
Amount
£33.0k–£46.0k/yr
Duration
1 year in the first instance
Programme
Open Network for Frontotemporal dementia Innovation Research (ON-FIRE)
University of Cambridge

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.

Documents required
  • CV
  • Cover letter
  • 3 reference letters
↗Apply on site

Contact

Maura Malpetti· Professor

mm2243@medschl.cam.ac.uk

MM
Prof.
Maura Malpetti
Department of Clinical Neurosciences
Lab
Maura Malpetti Lab
University of Cambridge
Open Network for Frontotemporal dementia Innovation Research (ON-FIRE)United Kingdom
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