Postdoctoral Research Fellow – Statistics and Artificial Intelligence for Healthcare

We’re seeking an enthusiastic post-doctoral researcher to participate in an established research program addressing barriers to implementing artificial intelligence (AI) in healthcare.

THE ROLE

• Salary Package: Postdoctoral Research Fellow (Level A), from $97,620 to $104,621 p.a. plus 17% employer’s superannuation and annual leave loading.

• Appointment type: Full-time, fixed-term position for 2 years

• Macquarie University (North Ryde) location

About the Role

We’re seeking an enthusiastic post-doctoral researcher to participate in an established research program addressing barriers to implementing artificial intelligence (AI) in healthcare. The goal of the program is to research, develop and evaluate a new generation of statistical and related methods for assessing and enhancing the transportability and generalisability of healthcare AI into real life settings. The research will be conducted as part of an NHMRC funded project. You will be working with a cross-disciplinary group of highly experienced and internationally recognised researchers at the Centre for Health Informatics, at the Australian Institute of Health Innovation (AIHI) at Macquarie University and collaborating with other research groups.

About You

You will bring your expertise in statistical prediction or machine learning methods to a multi-disciplinary team to help the team to develop real-world systems supporting tasks such as diagnosis and treatment recommendation. We are looking both for academic rigour and outputs, as well as practical analytical skills, proven problem-solving experience, and ability to interact with internal and external stakeholders. Ideally, you will have some experience with health data sets and population analyses (although this is not essential), and working in a collaborative cross-disciplinary setting. You will be a good communicator, passionate about your research, and enjoy working in a dynamic team. You will continue to develop and expand your own research strengths and interests, particularly as they align with the Centre’s research programs. 

About Us

Macquarie is the university of pioneering minds. Globally recognised as one of Australia’s leading research universities, Macquarie is a place where extraordinary new possibilities come to light. We’ve helped people to hear, introduced wireless internet technology to the world, and broken through traditional boundaries by appointing Australia’s first female vice-chancellor.

Macquarie University’s Faculty of Medicine, Health and Human Sciences builds on our aspiration to have the nation’s first fully integrated Academic Health Sciences Centre under a university’s leadership. It brings together the excellent work of medical and allied-health clinicians and researchers across the University and around the country, with unparalleled access to world-leading clinical resources and research facilities found only on our campus. Our Faculty hosts the Australian Institute of Health Innovation (AIHI), an internationally acclaimed powerhouse researching health systems, digital health and patient safety.

The Centre for Health Informatics (CHI) was Australia’s first digital health research centre and its researchers explore applications of novel digital technologies in healthcare. We have a specific focus on Artificial Intelligence (AI) and its implications for transforming models of care, driving system-wide change and delivering more personalised healthcare. The Centre leads a number of large-scale NHMRC projects in digital health and in 2018 established the Australian Alliance for Artificial Intelligence in Healthcare. CHI is a research partner to major healthcare providers, research institutions and governments, and has national and international industry partnerships. The Centre generates high-impact research and works with many large Australian and international Electronic Health Record datasets and its staff have expertise in the development and implementation of state-of-the-art artificial intelligence (AI) methods.

To Apply

To be considered for this position, please apply online by submitting your CV with a publications list and a separate (1-2 pages) cover letter that demonstrates how you meet the selection criteria below. We ask that applicants also include a one -page summary of your top-3 publications explaining (a) the importance of these publications, and (b) your part in these publications.

Selection Criteria:

Essential

• PhD in Statistics, Computer Science, Data Science, Health Informatics, or a closely related field.

• Demonstrated experience in Statistical analysis and prediction methods or Machine Learning, and strong analytical skills.

• Proven experience in processing and analysis of large-scale datasets.

• Excellent research track record evidenced by first-author publications in strong international journals and conferences.

• Demonstrated excellent written and verbal communication skills, including ability to work in multidisciplinary teams.

• Proven ability to conduct research independently and as part of a collaborative team.

Desirable

• Understanding of medical and health applications, population analyses, and experience with applications of AI to health or medical problems.

• Understanding of problems associated with algorithmic transportability and population changes

• Publications in top-tier journals and conferences.

• Experience in writing research proposals and securing research/industry funding.

• Experience in supervising Honours and high-degree research students.

Appointment to either Postdoctoral/Research Fellow will be in accordance with demonstrated skills, and experience.

Specific Role Enquiries: Professor Enrico Coiera, Director of the Centre for Health Informatics at [email protected]

General Recruitment Enquiries: Nithya Elango, HR Assistant at [email protected]

Applications Close: Sunday January 15, 2023 at 11:55pm

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:

15/01/2023 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