Crc Bioinformatics Research Officer

**Position **CRC Bioinformatics Research

**Position Number **2912A01** Level/ Classification**:HEW0708

**Reports to **Premier Early Mid-Career Fellow***

**Unit **Centre for Computational and Systems Medicine

**Directorate **Health Futures Institute***

**Positions Supervised **N/A**
**Position Purpose**

The position is based at the Murdoch University Centre for Computational and Systems
computational and statistical modelling pipelines for modelling metabolic phenotyping data
generated from Western Australia premium food products.

data derived in-house using dedicated databases and existing informatics pipelines as well as
(pre-)processing workflows and performing data modelling tasks for statistical evaluation,
result visualisation, and contextualisation within respective study frameworks. The
spectroscopy, and various mass spectrometry MS) systems.

The position has been created as part of the Future Food Systems Cooperative Research
Centre (FFS-CRC) to connect nutritional quality and composition with health outcomes
through nutritional health claims.

**About Murdoch University**

Murdoch University helps people discover how to make a difference, through education and
research endeavor, and remains one of the most inclusive universities in the country,
providing students with quality education and recognized academic standing within an
engaging and caring environment. We are a university for all, irrespective of background and
social standing with a focus on social equity, self-direction and freedom of thought and belief.
With strong links to government, business and the community, Murdoch University helps
people discover how to make a difference. We are a young, innovative and enterprising
university with more than 23,000 students and 1,700 staff across Perth, Singapore and Dubai.
We are committed to high quality education,

Our Strategic Plan and Future Horizon 2017-2027 outlines an ambitious blueprint for
development and growth, with a focus on one purpose: to be a creative force for current and
future generations.

We are clear about our two core goals: to educate free thinkers who thrive in society and are
sought after by employers; and, to provide life changing solutions for the world’s big
challenges through our outstanding translational research and innovative practice.

**About the Work Area**

Through the FFS-CRC, the CCSM brings scientists and industry partners together in an
interdisciplinary environment, building on the academic strengths of individuals in cutting
edge analytical chemistry, data science and data visualisation. The Centre harnesses the
capacity of the Australian National Phenome Centre (ANPC) to generate high throughput, deep
phenotypic profiles of food products to verify the chemical makeup, monitor nutritional
functionality and other key attributes such as authenticity and freshness. These information
will support food health claims and enable future preventative healthcare strategies by
leveraging on the detailed molecular information of food products. The ANPC is a world-class
facility led by Murdoch University focused on high throughput targeted and exploratory
metabolic phenotyping. It is an engine for data science and analytics that supports research
across the Health Futures Institute. The ANPC, located in the Harry Perkins Institute of Medical
Research adjacent to the Fiona Stanley Hospital, Western Australia, is the largest dedicated
facility for metabolic phenotyping in the world. The ANPC houses the largest collection of mass
spectrometers and nuclear magnetic resonance instruments dedicated to phenomics research.

**Reporting Relationships**

Premier Mid-Career
Fellow

CRC Bioinformatics
Research Officer

**Key Responsibilities / Duties**

1. Provide informatics support to MS and NMR specialists to ensure seamless execution of

metabolic phenotyping workflows and harmonization of methodologies,
2. As directed, to take responsibility for experimental design, data analysis, statistical

modelling and preparation of reports for designated projects, to assess data quality to
ensure integrity of data sets, provide data-driven solutions to solve specific problems
leveraging existing analytics tools & techniques, including Python, MATLAB and R
Programming,

3. To process data generated from NMR and MS platforms including ongoing assessment of
data quality,

4. Conduct univariate and/ or multivariate statistical analysis of acquired data,
5. To participate in the research and development of new methods and pipelines for the

processing or biostatistical interrogation of data derived from MS and NMRs,

7. To present scientific research results and interpretation to internal and external clients
and research collaborators,

8. To maintain up-to-date knowledge in the field of metabolic phenotyping bioinformatics,
9. To participate in the University’s Contribution Development Review,
10. To undertake other duties as required, such as Project administration and reco