Data Scientist

Company Description

Every institution values excellence. What matters most is why.
Griffith was created to be a different type of university. You’ll find we’re about leading research, academic excellence, and the transformative power of education. But what sets us apart is why those things matter and how you’ll achieve them.

Why? Griffith brings together exceptional minds like yours from across the globe and from all walks of life. Here, we do incredible work, questioning and challenging, always in the pursuit of excellence.

Job Description

This is an exciting opportunity for a Data Scientist to help translate child developmental data captured through digital health technologies into actionable clinical insights. The Tracking Cube is a ready for translation, holistic co-designed solution to monitor child health and neurodevelopment in primary healthcare, with embedded digital tools that guide ongoing screening, early and accurate diagnosis and support for children and adolescents with neurodevelopmental disorders (e.g., ADHD, FASD, ASD).

We are looking for a Data Scientist to organise and analyse large amounts of raw information to find patterns that will help improve our digital tracking system. We will rely on you to build data products to extract valuable business and clinical insights.

In this role, you should be highly analytical with a knack for cleaning messy healthcare data, analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our team analyse trends to make better decisions. Experiences of working with real world health dataset is desirable.

About you
The occupant of this position will hold a Masters Degree in Data Science, Applied Mathematics, Statistics, Computer Science, Physics, Engineering or a related quantitative field or equivalent qualifications/work experience.

• Greater than two (2) years of experience in a similar role.
• Strong analytical programming skills with SQL, R, Python or similar.
• Experience with data visualisation (e.g., Looker Studio, Tableau), dashboarding, and data pipeline tools.
• Strong communication skills, particularly in relation to presenting complex data in a succinct and accessible form for technical and non-technical audiences.
• Analytical mind and business acumen.

What we can offer
This is a fixed term (2 years), full time position and will be based at the Griffith University Gold Coast campus.  As Griffith is a multi-campus University you may be required to work across other campus locations. Griffith University’s campuses are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples.

Salary Range
The full time equivalent base salary for a Data Scientist (Senior Research Assistant, Grade 1) is in the range $88,995 – $99,367 per annum + 17% superannuation.  The total FTE package will be in the range $104,124 – $116,259 per annum.

Additional Information

Why Griffith?
As a values-led organisation, at Griffith University, we’ve worked hard to create a dynamic and strong organisational culture. We offer:

• Wide range of Learning and Development opportunities
• Salary packaging options and corporate health discounts
• Support with future learning opportunities through our educational staff assistance scheme

How to apply
At Griffith, we’re committed to providing a safe and inclusive environment for all – whoever you are and wherever you’re from. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.

Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. For more information please visit our Equity, Diversity and Inclusion page. Griffith University also maintains a strict zero-tolerance policy against all forms of modern slavery. For more information, please refer to Griffith’s Modern Slavery Policy.

Please submit your application online and ensure it includes the following:

• A covering letter outlining your suitability for the role (please refer to the About You section above and the position description).
• Current curriculum vitae/resume including full contact details.

Applicants must have unrestricted working rights. VISA sponsorship is not available for this position. Successful candidates may be subject to a criminal history check.

For further information specifically about this role, please contact Professor Dianne Shanley, School of Applied Psychology on +61 (0) 7 5678 8132 or via email [email protected].

For application and recruitment advice, please contact Jinita Dhall, Talent Acquisition Partner, at [email protected].

For application support, please contact People Services on +61 (0) 7 3735 4011 and quote reference number REF4832X.

Closing date: Thursday, 4 April 2024 11:59pm AEST. All applications must be submitted online. Please allow at least 1 – 2 weeks from the closing date to expect an application update.