Position Details
Reference Number 14207
Position Title Bioinformatician (Data Analyst), VCFG
Employment Type Fixed Term Full Time
Division Cancer Research
Location Melbourne
Award Classification Award : Research Technology (Allied Health Professionals)
Classification From: 1RA6 - RESRCH ASST LV A YR6
Classification To: 1RA10 - RESRCH ASST LV AYR10
Position Summary

Outstanding candidates are encouraged to apply for positions now open at Peter MacCallum Cancer Centre – a place where our normal days are extraordinary; as are the people we care for.

 

Peter Mac is one of a handful of integrated cancer research, education and treatment centres in the world. Each day our team strives to provide the very best in cancer care, even better treatments and potential cancer cures for all people affected by cancer.

 

Globally, we are facing one of the most pivotal times in the pursuit of cancer cures, and Peter Mac stands at its forefront. Together, we aim to lead a new era of cancer prevention, care and discovery, supported by state-of-the-art facilities at our new home within the Victorian Comprehensive Cancer Centre building.

 

Your role in our future.

 

Bioinformatician (Data Analyst) - Victorian Centre for Functional Genomics (VCFG) 

 

The Victorian Centre for Functional Genomics (VCFG) is a core technology platform embedded within the Peter Mac Cancer Research Division and supports researchers Australia-wide to perform cutting edge discovery-based research using CRISPR, RNAi, compound and proteomic screening strategies. We are highly experienced with quantitative cell imaging and are looking for someone who is interested in developing the analytical tools to take this to the next level.

 

An excellent opportunity exists for an enthusiastic, highly motivated and skilled Bioinformatician (Data Analyst) to join the VCFG team.  This position is very diverse as we engage with researchers with varied biological questions who perform their screens in the lab under our guidance. The successful person will work with highly experienced Research Officers to deliver a nationally recognised service of excellence focused on cutting edge technological screening applications coupled with high content imaging.

 

Candidates who wish to apply for this position MUST:

  • Have a PhD or Masters degree in a relevant field OR a bachelors degree and at least three years experience in a quantitative discipline such as mathematics, statistics, physics or computer science, a biological background is a distinct advantage.
  • Have experience in the application of bioinformatics to large data sets.
  • Have excellent skills in R programming.
  • Possess excellent organization, communication, reporting and time management skills.

The position is initially for a fixed period of 12 months with the opportunity for further extension. Remuneration will be commensurate with qualifications and experience.

 

For further information about this opportunity, please review the position description or contact us for a confidential discussion.

 

Peter Mac offers its employees the following benefits:

  • Salary Packaging
  • Employee Assistance Program
  • Central City Location
  • Training and Development Program
Selection Criteria Essential: Qualification in Bioinformatics, Statistics or Biostatistics
Essential: Proven ability to handle large data sets
Essential: Proven ability to analyse high-throughput experimental data
Essential: Programming experience in R, python
Essential: Experience with analysis of RNAseq
Essential: Experience with Excel, SQL, relational databases, data modelling
Essential: Strong programming ability (JAVA) required to efficiently manage SQL databases
Essential: Excellent oral and written communication skills
Desirable: Experience in cell biology or molecular biology
Desirable: Experience with high-throughput screening
Desirable: Experience with quantitative imaging
Desirable: Knowledge of RNAi and CRISPR technologies
Desirable: Experience with pathway and network analysis tools
Desirable: Experience with data visualisation tools
Contact Person Associate Professor Kaylene Simpson
Contact Number 03 8559 7509
Closing Date 27/03/2018
Position Description
Position Description_Bioinformatician_VCFG_220218.pdf Open
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