Research Associate: Neuroinformatics & Biomarker Analysis

University of Cambridge; Cambridge; On-site; GBP 30,000 - 40,000; Full time

Job summary

The University of Cambridge's Department of Clinical Neurosciences invites applications for an enthusiastic Research Assistant/Associate to join Prof Maura Malpetti's lab in Cambridge. The role focuses on leading statistical analysis and data management for multivariate biomarkers emerging from novel biochemical assays, with an emphasis on computational work rather than wet-lab experiments.

You will develop pipelines to link multimodal data—blood-derived data, NHS digital records, clinical

Qualifications

• PhD or near completion in bioinformatics, statistics, neuroscience or related field.
• Strong knowledge of biostatistics and related research methods.
• Experience with machine learning and programming in MATLAB, R, Bash and Python.

Responsibilities

• Lead statistical analysis and data management for multivariate biomarkers identified using novel biochemical assays.
• Develop pipelines to combine multimodal data, linking blood samples to NHS digital records, clinical longitudinal data, genetics and neuroimages (MRI and PET).
• Lead computational analyses on biomarkers data, polygenic risk score calculations, and immunophenotyping data; present findings to stakeholders.

Skills

Biostatistics

Machine learning

MATLAB

R

Python

Bash

Education

PhD or near completion

Tools

MATLAB

R

Bash

Python

Job description

The University of Cambridge's Department of Clinical Neurosciences invites applications for an enthusiastic Research Assistant/Associate to join Prof Maura Malpetti's lab in Cambridge. The role focuses on leading statistical analysis and data management for multivariate biomarkers emerging from novel biochemical assays, with an emphasis on computational work rather than wet-lab experiments.

You will develop pipelines to link multimodal data—blood-derived data, NHS digital records, clinical