Data Scientist

Mallet St Building F (M02F)

University of Sydney

The University of Sydney: A global top 20 university in Sydney, Australia, leading the way in addressing environmental, social, and governance challenges. Ranked 1st in Australia for sustainability.

View all jobs at University of Sydney

Apply now Apply later

  • Full-time, 12-month fixed-term role, with the possibility of extension

  • Dynamic opportunity for a Data Science expert to apply their skills to mental health research

  • Base Salary $108,557 - $118,267 + 17% superannuation

About the opportunity

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. The integration of cutting-edge research with safe and effective clinical care enables us too quickly

and effectively translate our research findings into clinical services, facilitating continuous improvements to

mental health services for the benefit of young people in Australia.

We are looking for a Data Scientist to contribute across our sub-teams in youth mental health. As the successful candidate, you will be applying modern data science methods to build explainable machine learning models, performing data wrangling and engineering for informed decision-making tools, and supporting other data science initiatives in the Youth Mental Health and Technology team whilst reporting to the Senior Data Scientist.

Your key responsibilities will be to:

  • Support the objectives of the research program by conducting data wrangling from disparate data sources to form the basis of system dynamics models

  • 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

  • work within a team of senior academics, data scientists, mathematical modellers, data engineers and clinicians to deliver high-quality research outputs and collaborate with the team to develop ideas for grant applications.

About you

  • Bachelors in a relevant field (Masters desirable)

  • 2 years+ experience in mathematics, statistics and/or data science roles (or related relevant fields)

  • fluency in the R programming language and proficiency in R data science and wrangling packages (tidyverse)

  • experience in wrangling data from disparate sources into formats for statistical analysis

  • knowledge in probabilistic machine learning, including Bayesian modelling and inference 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

  • possess excellent communication skills, organisational and interpersonal skills

  • ability to work effectively, collaboratively as part of a multidisciplinary team

  • ability to work independently and complete tasks on time with minimal supervision

  • passion for the application of data science to youth mental health.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.

Pre-employment checks

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. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement 

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.  

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Roshik Prasad, Recruitment Operations by email to roshik.prasad@sydney.edu.au

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 24 November 2024 11:59 PM
Apply now Apply later
Job stats:  0  0  0
Category: Data Science Jobs

Tags: Bayesian Engineering Machine Learning Mathematics ML models R Research Statistics

Perks/benefits: Career development Startup environment

More jobs like this