Senior Health Data Scientist

Senior Health Data Scientist

• Employment Type: Full - time (35 hours a week)
• Duration: 12-month Fixed Term contract
• Remuneration: $127,351 base, plus 17% superannuation and leave loading  
• Location: (Hybrid) Kensington, Sydney. 

Our Organisation 

The Centre for Big Data Research in Health  is Australia’s first research centre dedicated to health research using big data. Our research is collaborative, involving codesign and coproduction methods with consumers, communities and health care providers. Together, we aim to facilitate long term translation and implementation into health policy, service and programs.

We are privileged to have many enthusiastic partners including government agencies, health organisations from the public, private and not-for-profit sectors, research funders, clinicians, health consumers and community members. 

About the Role

The Senior Health Data Scientist will play a crucial role in Cardiac AI, a research program focused on developing data resources, analytics, and tools to combat cardiovascular disease. The role involves designing, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment. The scientist will collaborate with data scientists, cardiologists, neurologists, health IT teams, and AWS engineers to support Cardiac AI’s mission to use AI-driven insights for improving cardiovascular health outcomes.

The role reports to the technical lead of Cardiac AI.

The successful candidate will have demonstrated experience in and be responsible for:

• Develop and oversee the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity. Manage and test the AI models for the de-identification of notes, and maintain an identifier registry and opt-out process.
• Develop and oversee the development and maintenance of SQL scripts to extract and pre-process relevant Electronic Medical Record data to provide a research-ready health data repository. This may include conversion and updating of existing scripts from ‘Cerner CCL’ language to ‘Snowflake SQL’.
• Identify areas of improvement and provide the leadership needed to maintain the efficiency and effectiveness of the data processing. Lead initiatives to redesign and enhance processes to improve scalability, reliability, and performance. Collaborate with cross-functional teams to implement best practices, promote a culture of continuous improvement, and ensure the timely delivery of high-quality data outputs.
• Engage with AWS engineers and other stakeholders to ensure the quality and accuracy of the automated Cardiac AI data pipeline.
• Prepare and maintain complex relevant documentation of AWS Cardiac AI cloud workspaces to enable ongoing management of the data pipeline processes.

About You

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Postgraduate qualifications (MSc, PhD) would be an advantage.
• Proficiency and demonstrated experience working with Big routinely collected health data, and in particular, Electronic Medical Records data.
• Knowledge of healthcare systems, medical terminology, clinical processes and ethical regulations regarding working with sensitive health data.
• Proficiency and demonstrated programming experience with Python/R, for data manipulation, statistical analysis, and model development.
• Demonstrated experience with ETL processes and the development and management of SQL databases.
• Knowledge and skills in data visualisation (e.g. Tableau, PowerBI) is highly desirable.
• Knowledge and skills in cloud computing platforms, especially AWS and Snowflake is highly desirable.
• Excellent communication skills and the ability to work collaboratively in multidisciplinary teams.

Please refer to the position description for full details.

UNSW Benefits and Culture 

• 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 on Apply now to apply online. Applications should not be sent to the contact listed below. Please provide a resume and a separate document addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW.

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

Contact

Frank McHenry, Talent Acquisition Associate

E:  frank.mchenry@unsw.edu.au    

Applications close: Sunday 13th July before 11.30pm Sydney time

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.