Manager Data Science And Insights

The Cancer Institute NSW is the NSW Government's cancer control agency, established to lessen the impact of cancer across the state.

Working at the Cancer Institute NSW means joining a team of committed and dedicated staff who are proud to be a part of the Institute's purpose of overseeing and accelerating the effectiveness of cancer control in NSW.

The Cancer Institute is a collaborative working environment that encourages diversity and inclusion in how we work and the way we work together. Aboriginal and Torres Strait Islander peoples are strongly encouraged to apply. Greater consideration will be given to suitable applicants, in order to improve access to employment and career opportunities (GSE Rule 26).

• What you'll be doing_

In this role you will be required to :

• Drive continuous learning across CINSW regarding how AI and data science can add value to CINSW work; and promulgate good data science practice.
• Lead the development, validation and testing of effective complex approaches relating to AI, data mining, machine learning, statistical modelling and data visualisation for generating insights.
• Work with stakeholders to define requirements, and lead the development and implementation of the organisational wide analytical tools and products using the latest technology.
• Ensure appropriate quality assurance and data governance processes for data and information

Essential to the role will be your ability to manage communications and relationships with key internal and external stakeholders to identify longer term Analytics and AI requirements, influence and collaborate with internal and external stakeholders to facilitate the development of sustainable AI and Analytics systems and solutions that will support present and future of cancer intelligence.

• Your resume (maximum five pages)
• A covering letter outlining your suitability and interest in the role
• A response to the Essential Requirements, as outlined in the Role Description
• A response to the Pre-screening questions, as outlined below.
• Essential requirements_
• Relevant tertiary qualifications and extensive experience computer science, machine learning or a related discipline, preferably a doctorate degree in Computer Science or Data Science.
• Expertise in programming languages, such as SQL for data transformation; R, Python.
• Superior analytical skills including demonstrated ability conducting extensive data analysis and interpretation of healthcare evidence and improvement strategies; developing and validating methods and tools of health system performance; preparing and presenting analysis and reports.
• Demonstrated experience in the creation and maintenance of appropriate data repositories, such as data lakes, and development, validation and testing of effective approaches relating to data mining and analysis, machine learning, statistical modelling and data visualisation.
• Demonstrated experience in all aspects of project management and implementation including management of multiple and concurrent complex projects with conflicting milestones and deadlines and leading multidisciplinary project teams. This includes the ability to motivate and influence staff collaborating on projects, particularly those who may not have direct reporting relationship.
• Highly developed interpersonal skills with demonstrated experience developing effective professional relationships with internal and external stakeholders including liaising with and influencing stakeholders in the achievement of organisational goals.
• Advanced oral and written communication, interpersonal, negotiation, consultation and presentation skills.
• Pre-screening questions_
• Please provide a recent example of a complex data project with competing timeframes and multiple stakeholders that you have managed and successfully delivered.
• How do you effectively influenced and manage change?
• Interested?_

For more information :

1. Click here for the Role Description

• Applications Close : Sunday 13 Octobeer at 11.30 pm.