Research Fellow – Data Scientist / Biostatistician
Core
Lead advanced statistical and machine learning analyses to uncover trajectories and predictors in young people at ultra-high risk of psychosis.
Role type
Research Fellow (Data Scientist / Biostatistician)
Builds
Predictive models and clinically meaningful subgroups for youth mental health outcomes
Domain
Mental health / Biostatistics / Machine Learning
Deliverable
production ML models | research
Required skills
Machine learning for prediction and clustering, R programming (wrangling, modelling, simulation, visualisation), statistical analysis of complex health data, academic publication writing
Preferred skills
Experience with NIH-funded global psychosis research, developing academic profiles
Technologies
R
Responsibilities
Lead statistical analyses of UHR datasets, develop and evaluate ML models, prepare analysis plans and manuscripts, engage in project meetings and dissemination activities
Seniority
Mid-Senior, hands-on IC