Job Title:
Senior Health Data Scientist
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Job Description
The primary objective of this role is to play a crucial part in Cardiac AI, a research program focused on developing data resources and analytics to combat cardiovascular disease. This involves designing, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment.
As a Senior Health Data Scientist, you 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 successful candidate will have demonstrated experience in developing and overseeing the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity.
You will also be responsible for developing and maintaining 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'.
In addition, you will identify areas of improvement and provide leadership needed to maintain the efficiency and effectiveness of the data processing. You will lead initiatives to redesign and enhance processes to improve scalability, reliability, and performance.
Furthermore, you will engage with AWS engineers and other stakeholders to ensure the quality and accuracy of the automated Cardiac AI data pipeline.
Finally, you will prepare and maintain complex relevant documentation of AWS Cardiac AI cloud workspaces to enable ongoing management of the data pipeline processes.
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Required Skills and Qualifications
Essential Qualifications:
* Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
* 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
Desirable Qualifications:
* Knowledge and skills in data visualisation (e.g. Tableau, PowerBI)
* Knowledge and skills in cloud computing platforms, especially AWS and Snowflake
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Benefits
Our organisation offers a range of benefits, including:
* 17% Superannuation and leave loading
* Additional 3 days of leave over the Christmas Period
* Access to lifelong learning and career development
* Progressive HR practices
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Others
We are an equal opportunity employer 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.