Post-Doctoral Research Fellow in Biostatistics

Joondalup, Perth, Australia
$95,979 - $113,978
30 Nov 2016
End of advertisement period
22 Jan 2017
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Fixed Term
Full Time


ALEVB $95,979 - $113,978


A unique opportunity has opened at the School of Science, Edith Cowan University, for a highly motivated post-doctoral researcher in the field of Bioinformatics, Biostatistics and Machine Learning to help drive forward the new Centre for Integrative Metabolomics & Computational Biology research facility.

The Role

We are seeking to employ a research fellow with a PhD in Biostatistics, Bioinformatics, Chemometrics, Machine Learning, or related discipline, preferably with a track record in Metabolomics research. The successful applicant will primarily be employed to develop novel data mining algorithms, cheminformatic workflows, and work as the principal biostatistician for an interdisciplinary team of metabolomics scientists employed on a wide range of research applications. The successful applicant will also lead the development of new multi-block strategies for combining ‘omic data from multiple systems-biology platforms. There will be significant opportunity for the successful applicant to develop their own research program, and lead research projects and grant applications. Applicants with a particular interest in feature selection, evolutionary computation, artificial neural networks, non-linear time-series analysis, and/or Bayesian networks are particularly encouraged to apply.


The Centre for Integrative Metabolomics & Computational Biology (CIMCB) is a multi-million dollar facility founded on a unique and innovative collaboration between Edith Cowan University and the multinational biotechnology company Thermo Fischer Scientific. For more information regarding CIMCB please visit our website

CIMCB is based at the ECU Joondalup Campus, 30 minutes from the state capital Perth, on the west coast of Australia. WA has one of the most beautiful coastlines the world, with over 19 beaches in Perth alone, and over 3,000 hours of sunshine a year (the sunniest city in Australia).  Perth's combination of big-city attractions with relaxed and informal surroundings offers an excellent balanced work/life environment.

Qualifications and Experience

The applicant should embody and demonstrate personal attributes that are congruent with the University’s values of Integrity, Respect, Rational Inquiry and Personal Excellence, in addition to the following:


  • PhD in Bioinformatics, Biostatistics, Epidemiology, Chemometrics, Computational Biology, or related discipline.
  • Strong practical background in computer/statistical programming (e.g. Python, Matlab, C++, Java, R, SAS, STATA) in Unix environment.
  • Experience in multivariate data analysis and handling large biological/clinical data sets.
  • Evidence of the ability to design and implement statistical or machine-learning algorithms
  • Self-motivated and confident person who is willing to take the initiative
  • Exceptional communication skills, and display strong leadership.
  • Promote and publish in this area of research.
  • Engage in the supervision/training of research students and project team members.


  • Experience in metabolomics techniques (Instruments, Study Design, and Quality Control).
  • Experience with mass spectrometer-associated deconvolution software.
  • Experience in “web-app” development and Jupyter notebook environment.
  • Experience in data visualization techniques and network analysis
  • Experience with feature selection methods and/or evolutionary computation.
  • Willing to develop web-based teaching material.
  • Experience in lecture-based teaching of graduate and/or undergraduate students.

Benefits & Remuneration

This full-time, fixed term position attracts remuneration of ALEVB AU$95,979 - AU$113,978 (dependant on experience) plus 17% University superannuation contribution.

ECU supports a work/life balance for staff.  Benefits such as flexible working arrangements may also be negotiated to meet your personal circumstances.
For information on the benefits of working at ECU, please visit our Future Staff website.


Interested applicants are encouraged to email Professor David Broadhurst ( at for further information.

How to Apply:

Please upload your CV along with a statement addressing the selection criteria.

Closing Date:

Applications close on 22nd January 2017 at 9:30pm.

ECU is diverse and inclusive workplace reflecting the differences in society. Specific strategies and initiatives are in place to address underrepresentation of specific groups. Applications are encouraged from suitably qualified people from all backgrounds.

Selection Criteria Opens in new window