8 results
Prof Maura Malpetti's lab in the Department of Clinical Neurosciences studies inflammation in frontotemporal dementia through ON-FIRE (Open Network for Frontotemporal dementia Innovation Research), a UK-wide multi-centre study collecting data at more than 40 sites. The postholder leads statistical analysis and data management for blood biomarkers measured…
Develop systematic, scoping and rapid reviews and meta-analyses to support cancer-survivorship research, policy and clinical practice. Responsibilities include literature searches, critical appraisal, extraction and interpretation of evidence, research development and preparation of publications and reports. The role works with multidisciplinary researchers…
Closes
A 16-month statistical programming contract supporting clinical studies and regulatory submissions. The programmer develops and validates SAS analyses, creates CDISC datasets and prepares tables, figures and listings. The role collaborates with biostatistics, data management and clinical operations. Based in South Boston, Massachusetts, the employer…
Lead biostatistics and the wider biometrics function for Prime Medicine’s gene editing clinical programmes. The role develops trial designs, endpoints, dose-escalation strategies and analysis plans while overseeing clinical data management and statistical programming partners. It supports regulatory interactions and quantitative decisions from protocol…
Provide study-level statistical leadership for clinical trials across Beam’s development programmes. The role contributes to protocol design, analysis plans, randomisation, data collection and interpretation of trial outcomes. It also reviews biometrics work from external research organisations and supports clinical reports, regulatory submissions and…
Develop machine-learning methods for quantitative neuropathology within the Brain Health initiative. Integrate histology, spatial molecular data, MRI and clinical information to investigate brain-disease mechanisms and progression. The role includes computer-vision models, multimodal learning, Bayesian and causal models, scientific collaboration and open…
Develop scalable machine-learning methods and infrastructure for the Brain Health initiative. Integrate digital histology, spatial transcriptomics, MRI and clinical data to model brain-disease progression at cellular resolution. Responsibilities include foundation models, distributed training, robust data pipelines and open-source scientific tools. This…
Analyse European Multicenter Study about Spinal Cord Injury datasets to predict neurological recovery and functional outcomes. Tasks span data harmonisation, feature engineering, regression, survival analysis and machine learning, with reproducible R/Python workflows. Work with clinicians and international collaborators on publications and coordinate…
End of results.