Research Data Scientist/Biomedical Engineer

  • Full time fixed term position for 12 months
  • Generous salary packaging up to $15,900
  • Supportive Team

Internationally recognised in the fields of respiratory disease and sleep disorders research, the Woolcock Institute of Medical Research is committed to improving the respiratory and sleep health of all Australians. We achieve our commitment to health through research, diagnosis, treatment, education, prevention and care, with our state-of-the-art research facilities and diagnostic clinic.

The Sleep and Circadian Research Group is a world-renowned research leader focusing on the causes, prevention, diagnosis and treatment of sleep and circadian disorders. The research group has a range of research expertise spanning epidemiology, neurosciences, cardiovascular and metabolic, and clinical disorders.

We are seeking a full-time data scientist to work with our interdisciplinary sleep and circadian research team at the Woolcock Institute of Medical Research. Your role will be to develop and grow the data science capabilities of the sleep and circadian group. Specifically, you will work with extensive sleep metrics databases which include neurophysiological, actigraphic, and MRI signals from clinical populations. You will provide data science proficiency across a range of projects.

Primary accountabilities:

  • Provide data science and biomedical engineering expertise with neurophysiological and sleep biometrics;
  • Collate and analyse existing EEG, polysomnographic and MRI data from a range of research projects in neuroimaging and neurophysiology;
  • Develop models, algorithms and programs that relate to biometrical data on clinical populations; and
  • Supervise and train junior staff and students.

To be successful in this role you will have:

  • Masters or PhD in biomedical engineering or data science (or equivalent);
  • Background in neuroscience, psychology, or biomedical science (or related field);
  • Hands-on experience in predictive modelling and analysis with large volumes of data;
  • Advanced statistical skills;
  • Signal processing specialist working with times series data;
  • Experience with analytic tools such as Matlab, Python, Java, SAS, or SPSS;
  • Excellent interpersonal, verbal and written communication skills;
  • Demonstrated ability to prepare scientific reports;
  • Prior research experience in clinical interdisciplinary field; and
  • Student supervision.

Example projects:

  • Development of objective surrogates (EEG, actigraphy) of subjective sleep quality in insomnia disorder;
  • Spectral coherence-based analysis to examine connectivity between different brain regions;
  • Development of high-density EEG global and regional analysis techniques and source localisation - Volumetric, functional, structural data analysis of MRI data; and
  • Application of spectral analysis to sleep EEGs recorded during routine polysomnography.

Initial enquiries can be directed to Dr Angela D’Rozario on telephone 02 9114 0435 or email

Applications close on Friday the 16th of March at 5:00pm, all applications are to be made via Seek.