The University of Sydney's Brain and Mind Centre 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.
The centre is made up of 27 research units, staffed by around 200 researchers and 100 students.
The Youth Mental Health and Technology team puts young people at the centre of their own care. We partner with health services to develop innovative treatments for those aged 12-25 with emerging mental health disorders.
Job Overview
We are looking for a Data Scientist to contribute across our sub-teams in youth mental health working on research supported by the MRFF national critical infrastructure fund.
* Apply modern data science methods to drive data architecture, processing pipelines and analytic methods (including machine learning) for raw passive mobile sensor streams and wearable time-series data for our mental-health studies and digital interventions.
* Report to the Senior Data Scientist.
Your key responsibilities will be to:
* Work within a team of senior academics, data scientists, mathematical modellers, data engineers and clinicians to deliver high quality research outputs.
* Support the objectives of the research program by conducting data wrangling from multimodal and disparate data sources for data analytics.
* Contribute to the development of novel methodologies to model illness trajectories in youth mental health and facilitate their application and use in health services utilising digital technologies.
* Collaborate with the wider team to develop ideas for grant applications.
About You
To succeed in this role, you'll need:
* At least 2 years of experience in mathematics, statistics and/or data science roles (or related relevant fields).
* Fluency in R (or another modern data-science language such as Python).
* Experience 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.
* Experience dealing with real-world data sets, including heterogeneous structured data with missing or unreliable fields.
* Excellent communication skills, organisational and interpersonal skills.
* Able to work effectively, collaboratively as part of a multidisciplinary team.
* Able to work independently and complete tasks on time with minimal supervision.
* Passion for the application of data science to youth mental health.
This role requires unrestricted work rights in Australia for the duration of employment. Visa sponsorship is not available for this appointment.
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements.
Benefits
We offer:
* A competitive salary range.
* An opportunity to work on cutting-edge research projects.
* A chance to collaborate with a multidisciplinary team.
* A supportive work environment.
* A commitment to diversity and inclusion.