Senior Data Scientist (Centre for Big Data Research)

Apply now Job no:522561
Work type:full time
Location:Sydney, NSW
Categories:Information Technology, Research Administration support

Senior Data Scientist (Centre for Big Data Research)

• Employment Type: Full - time (35 hours a week)
• Duration: Fixed term contract until 31st January 2025
• Remuneration: $118K - $134K base (+ 17% Superannuation and leave loading)
• Visa: Full working rights for the duration of the contract will be required
• Location: Kensington, Sydney

The Organisation

UNSW Medicine & Health   is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health care organisations. With a strong presence at UNSW Kensington campus, the faculty have staff and students in teaching hospitals in Sydney as well as regional and rural areas of NSW including Albury/Wodonga, Wagga Wagga, Coffs Harbour and Port Macquarie. 

Why this role matters  

The Senior Data Scientist will coordinate data management and curation and perform statistical analysis for specific research projects using large-scale linked health data and Electronic Medical Record Data.  This person will work as a data analyst using existing Python algorithms to predict patient outcomes, and to evaluate the impacts of health interventions. The role will also contribute to maintaining ethical approvals and writing reports and will provide general project management support.

Who you are:

• Postgraduate qualifications in statistics, biostatistics, epidemiology, data science, machine learning or related areas and relevant experience.
• Proven high level research and data analysis skills in a related discipline.
• Demonstrated experience in programming in Python.
• Highly developed data management skills and project management skills.
• Extensive experience in preparing project protocols, ethics applications and statistical analysis plans.
• Evidence of higher developed interpersonal and communication skills and a proven capacity to build relationships with key stakeholders and collaborators.
• Substantial relevant experience and leadership in the conduct of research with large-scale health data.
• Demonstrated experience in developing and leading peer-reviewed publications in journals and conferences.
• Demonstrated track record of developing statistical methodology or statistical software applications.
• Demonstrated ability to provide independent scientific and statistical direction, as well as demonstrated experience of effective statistical mentoring of junior staff and students.

Full details can be found in the position description. A copy of the Position Description can be found on JOBS@UNSW .

UNSW Benefits and Culture: 

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:​ 

• 17% Superannuation and leave loading​ 
• Flexible working ​ 
• Additional 3 days of leave over the Christmas Period​ 
• Access to lifelong learning and career development ​ 
• Progressive HR practices​ 

More information on the great staff benefits and culture can be found here.   

How to apply:

Please click Apply now to submit your application online. Applications should not be sent to the contact listed below. Please provide a resume and a cover letter briefly addressing the criteria listed in the position description.

Contact (role related questions only)

A/Prof Blanca Gallego Luxan

E: [email protected]  

Applications close:  14th February 2024, before 11.30pm

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

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

Advertised:01 Feb 2024 AUS Eastern Daylight Time
Applications close:14 Feb 2024 AUS Eastern Daylight Time