Data Scientist

University of Sydney; Sydney; On-site; AUD 86,511 - 96,863; Full time

Benefits offered by this job

17% superannuation

Job summary

The University of Sydney is seeking a Data Scientist to join its Brain and Mind Centre to utilize data science for youth mental health research. The role involves collaborating with various professionals and applying analytical skills to improve health services delivery through innovative data management and processing.

Qualifications

• 2+ years experience in mathematics, statistics, or data science roles.
• Fluency in modern data-science languages like R or Python.
• Experience dealing with heterogeneous structured data.

Responsibilities

• Apply modern data science methods to mental health research.
• Work with a team on data architectures and processing pipelines.
• Develop methodologies for modeling illness trajectories.

Skills

Data wrangling

Machine learning

Statistical analysis

Communication skills

Organisational skills

Education

Bachelor's degree in Data Science, Mathematics, Statistics, or related field

Tools

R

Python

Job description

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This range is provided by University of Sydney. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$86,511.00/yr - A$96,863.00/yr

• Full-time, fixed term role for 12 months possibility of extension
  
• Opportunity for a data science expert to apply their skills to mental health research
  
• Base salary $86,511 - $96,863 plus 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 to 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 working on research supported by the MRFF national critical infrastructure fund. In this role, you will be applying 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 whilst reporting 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

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



Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.



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 Tara Ritchie, Recruitment Operations by email to [e-mail]



The University of Sydney



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



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Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT System Data Services

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