
Analytical Modeller
2 weeks ago
Role Overview
This position entails contributing to the development of innovative methodologies to model illness trajectories in youth mental health and facilitate their implementation in healthcare services leveraging digital technologies.
You will be applying cutting-edge data science techniques to drive data architecture, processing pipelines, and analytical methods (including machine learning) for raw passive mobile sensor streams and wearable time-series data for our mental-health studies and digital interventions.
About the OpportunityThe Brain and Mind Centre at the University of Sydney is a centre for discovery, innovation, and integrative research strategies, clinical product development, and actions that translate research into improved treatment and disease prevention strategies.
About YouWe are seeking an experienced Data Scientist with 2 years+ experience in mathematics, statistics, and/or data science roles (or related relevant fields), proficiency in R (or another modern data-science language such as Python), expertise in wrangling data from multimodal and disparate sources into formats for statistical analysis, experience processing high-frequency sensor or digital phenotyping data at scale, knowledge in machine learning and longitudinal modelling, preferably applied to the field of mental health, excellent communication skills, organisational and interpersonal skills, ability to work effectively, collaboratively as part of a multidisciplinary team, and ability to work independently and complete tasks on time with minimal supervision.
- Conduct data wrangling from multimodal and disparate data sources for data analytics.
- Develop novel methodologies to model illness trajectories in youth mental health and facilitate their implementation in healthcare services leveraging digital technologies.
Please note that you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.
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