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THE ROLE
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Salary Package: (Level C) from $132,004 to $151,806 p.a., and (Level D) from $158,533 to $174,378 p.a., plus 17% employer’s superannuation and annual leave loading
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Appointment Type: Full time – fixed term (3 years)
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Leafy, North Ryde location, new ‘state of the art’ facilities
The Role
We are seeking an experienced senior researcher to take a leadership role in establishing a new research stream within the Centre for Health Informatics. The focus of this new stream should broadly be in the area of Artificial Intelligence (AI) in healthcare, but we interpret this area broadly, and the specific focus will reflect the research expertise and background of the applicant. We are looking for an experienced and successful researcher, capable of developing a new research stream, leading a group of early-career researchers and students in support of the stream, and attracting steady stream of research funding to support the work.
Areas of focus we are interested in include (but are not limited to):
Human interaction with clinical AI and decision support Applications of Artificial Intelligence / machine learning in healthcare and medicine Natural language processing and text mining Digital epidemiology and social media analysis AI-driven discovery of clinical knowledge
The successful applicant will have the opportunity to work with a diverse group of experienced and internationally recognised senior researchers at the Centre for Health Informatics, which has been at the forefront of this discipline for over 20 years.
About You
You will bring your AI expertise into a multidisciplinary team and help guide the team to develop models and real-world systems. We are looking both for proven academic rigour and top-quality outputs, demonstrated ability to secure research funding, as well as pragmatic skills and problem solving. Ideally, you will have the desire to research and develop AI applications for healthcare, with experience in using modern methods to develop and evaluate AI models for real-world applications. You will also be an excellent communicator with high quality interpersonal skills, strong ability to liaise with internal and external stakeholders at all levels, and experience in leading a team of early-career researchers and higher-degree research students.
About Us
The Centre for Health Informatics (CHI) is one of three research centres in the Australian Institute of Health Innovation (AIHI). CHI explores the application of digital technologies in healthcare with strong expertise in Artificial Intelligence (AI) and its implications for transforming models of care, driving system-wide change and delivering personalised healthcare.
CHI collaborates with leading Australian and international companies and research organisations. As the longest-running digital health research centre in Australia, CHI is a research partner to major healthcare providers, research institutions and governments, and has national and international industry partnerships. CHI leads a number of large-scale NHMRC projects in digital health and in 2018 established the Australian Alliance for Artificial Intelligence in Healthcare.
As a part of the Faculty of Medicine, Health and Human Sciences , AIHI’s research centres work in the separate but related areas of clinical governance, implementation science, health informatics, health services and health systems and safety.
To Apply
To be considered for this position, please apply online by submitting
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Your resume/CV including publication list
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A separate document that demonstrates how you meet the selection criteria. Indicate the Level (C or D) at which you are applying
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A one-page description of your vision and goals for your research stream. Explain how you intend to attract researchers and students to the team, how it will fit within the mix of work already done at CHI, and how you intend to sustain and grow your team.
Selection Criteria:
Essential – Level C (Senior Research Fellow)
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PhD in Health Informatics, Digital Health, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
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Theoretical and applied expertise in AI research, and strong quantitative analytical skills.
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Proven experience with relevant coding and data analytics environments, used to develop practical AI applications.
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Research track record evidenced by publications in top-tier conferences and journals including but not limited to JAMIA, JMIR, JMLR, NeuroIPS, IJCAI, AAAI, KDD, ICML.
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Ability to attract industry funding or competitive grant funding and develop partnerships with industry and/or professional bodies.
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High level of oral and written communication skills and demonstrated ability to work as part of a multi-disciplinary team.
Essential – Level D (Associate Professor)
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PhD in Health Informatics, Digital Health, Computer Science, Data Science, Artificial Intelligence, or a related field.
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Well-articulated research agenda in AI applications in healthcare and medicine.
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Outstanding contributions to scholarship and research in the relevant discipline.
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Demonstrated theoretical and applied expertise in AI research, and strong quantitative analytical skills.
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Proven experience with relevant coding and data analytics environments, used to develop practical AI applications.
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Excellent research track record evidenced by publications in top-tier conferences and journals including but not limited to JAMIA, JMIR, JMLR, NeuroIPS, IJCAI, AAAI, KDD, ICML.
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Demonstrated ability to attract and sustain industry funding or competitive grant funding, supporting a long-term research agenda, and develop partnerships with industry and/or professional bodies.
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High level of oral and written communication skills and demonstrated ability to lead a multi-disciplinary team.
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Leadership skills and experience in supervising research students and junior researchers, and managing research projects.
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Willingness to undertake leadership responsibility in the Centre and contribute at the Faculty and University level.
Desirable (all levels)
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Sound understanding of healthcare applications, and practical experience in applications of AI to health and medical problems.
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Capability to deliver high quality learning and teaching, including the delivery of programs, lectures and tutorials.
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Experience in liaising with internal and external stakeholders.
Given current Australian Government COVID-19 border restrictions applications for this position are only being accepted from Australian citizens or permanent residents or people currently residing in Australia with full working rights.
Specific Role Enquiries: Prof. Enrico Coiera, Centre for Health Informatics, Australian Institute of Health Innovation at enrico.coiera@mq.edu.au
General Recruitment Enquiries: Rohana Nagarajah, HR Administrator a rohana.nagarajah@mq.edu.au
Applications Close: Tuesday 12 April 2022, at 11:55pm (AEDT)
If you’re already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you’ll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close:
12/04/2022 11:59 PM
Equity & Diversity Statement
At Macquarie University, we are committed to providing a working environment where each individual is valued, respected and supported to progress. Our priority is to ensure culture, policies and processes are truly inclusive and that no-one is disadvantaged on the basis of their Aboriginal and Torres Strait Islander identity, gender, culture, disability, LGBTIQA+ identities, family and caring responsibilities, age, or religion. We encourage everyone who meets the selection criteria and shares Macquarie University’s values of scholarship, empowerment and integrity to apply.
Learn more about our progress towards Equity, Diversity and Inclusion.
https://staff.mq.edu.au/work/diversity-inclusion
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