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Associate Professor/ Senior Research Fellow – Precision Healthcare

Apply now Job no: 504800
Work type: Full Time
Vacancy type: External Vacancy
Categories: Academic - Research Only / Fellowship

  • Salary Package: (Level C) From $124,392 to $143,051 p.a., and (Level D) From 149,391 to $164,321 p.a., plus 17% employer's superannuation and annual leave loading.
  • Appointment Type: Full time, fixed term for 3 years
  • Leafy, North Ryde location, new 'state of the art' facilities

The Role

We are seeking an enthusiastic senior researcher to take a leadership role in a major new research program in Medical Artificial Intelligence and Precision Healthcare. The aim of this program is to research, develop and evaluate a new generation of artificial intelligence (AI) technologies to support both clinicians and consumers in making personalised decisions about their care, based on data in electronic health records.

The successful applicant will have the opportunity to work with a diverse group of highly experienced and internationally recognised senior researchers at the Centre for Health Informatics to:

  • identify and evaluate potential high value use cases for precision healthcare in clinical and consumer settings
  • contribute to the architecture and engineering of precision healthcare systems
  • develop and evaluate system prototypes

About You

You will bring your specific expertise in Precision Medicine and AI into a multidisciplinary team and help guide that team to develop real-world systems. We are looking both for academic rigour and outputs, as well as pragmatic engineering and problem solving. You will also be an excellent communicator with high quality interpersonal skills and the ability to liaise with internal and external stakeholders at all levels.

About Us

The Centre for Health Informatics (CHI) is one of three research centres in the Australian Institute of Health Innovation (AIHI). Founded in 1999, CHI is 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. The Centre generates high-impact research and works with many large Australian and international Electronic Health Record datasets and have expertise in the development and implementation of state-of-the-art AI methods

As a part of the Faculty of Medicine and Health 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.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community. Connect with us today.

To Apply

  • Provide a cover letter addressing the selection criteria below along with their resume as part of the application process.
  • Indicate in their application the Level (either C or D) at which they are applying

Selection Criteria:

Essential - Level C (Senior Research Fellow)

  • PhD in Health or Medical Science, Computer Science, Applied Mathematics, Biostatistics, Epidemiology or related field.
  • Strong background in the application of machine discovery methods to clinical data sets including electronic health records.
  • Experience working with large-scale health data, data linkage, and ethical responsibilities for storage and analysis.
  • A well-articulated research agenda and a track record of publications in the highest quality domestic and international journals.
  • Demonstrated experience in contributing to the academic life and administrative tasks of the Centre with a track record of effective team work.
  • Willingness to contribute to the administration of the Centre and Faculty.

Desirable - Level C (Senior Research Fellow)

  • Demonstrated ability to secure research grant funding.
  • Experience in the development of ongoing partnerships with industry and/or professional bodies.

Essential - Level D (Associate Professor)

  • PhD in Health or Medical Science, Computer Science, Applied Mathematics, Biostatistics, Epidemiology or related field.
  • Strong background in the application of machine discovery methods to clinical data sets including electronic health records.
  • Experience working with large-scale health data, data linkage, and ethical responsibilities for storage and analysis.
  • Outstanding contributions to scholarship and research in the discipline as evidenced by ongoing publications in top tier journals and recognition as an eminent authority in the discipline.
  • Leadership skills and extensive experience in supervising and mentoring research students and staff members.
  • A national and international reputation in research and a demonstrated ability to attract industry funding or competitive grant funding and developing ongoing partnerships with industry and/or professional bodies.
  • Demonstrated willingness to undertake management responsibility at a senior level in the Centre, and to contribute at the Faculty and the University level.

Desirable – Level D (Associate Professor)

  • Experience in real-world testing of precision medicine solutions.

Specific Role Enquiries: Prof. Enrico Coiera, Centre for Health Informatics, Australian Institute of Health Innovation at enrico.coiera@mq.edu.au

General Recruitment Enquiries: Daniella Oreskovic, daniella.oreskovic@mq.edu.au

Applications Close: Sunday, 25 November 2018 at 11:55pm (AEDT)

Macquarie University is committed to Equity, Diversity and Inclusion. We value individual difference and recognise the strength of a vibrant, diverse and inclusive workforce where the backgrounds, perspectives and experiences of our staff are a driving force for collaboration, innovation and impact.

We work to ensure genuine equality of opportunity for people regardless of their gender, age, cultural background, sexual orientation, gender identity, disability and/or family status, and we encourage you to apply for a position at Macquarie University.

             

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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