Bioinformatician – Bioinformatics Core Facility, Cancer Research

Date:  16 Oct 2024
Site:  VCCC (Parkville)
Location: 

MELBOURNE, VIC, AU, 3000

Company:  Peter MacCallum Cancer Centre
Unit:  Core Bioinformatics
Division:  Cancer Research
Department:  Laboratory Research
Enterprise Agreement:  Allied Health Professionals (Victorian Public Sect
Core Bioinformatics

At Peter Mac we aim to continuously improve cancer care, research and education across all cancers and for all people affected by cancer: changing lives, breaking new ground. Everything we do is underpinned by our core values, Excellence, Compassion and Innovation. Welcoming people from a wide variety of different backgrounds and experiences is critical to fostering innovation, cultivating compassion, attracting and retaining top talent and providing the best possible cancer care for our patients.

 

YOUR ROLE IN OUR FUTURE
 
Bioinformatician, Bioinformatics Core Facility  - Cancer Research Division

 

  • Fixed-Term, Full time, 2 year position
  • Appointment made at the level of 1RA4-1RA6 ($88,228.40 - $97,770.40), subject to experience and qualification level
  • 80 hours a fortnight with monthly ADOs
  • 5 weeks annual leave
  • Attractive salary packaging options are available


The primary responsibility of this role is to support the bioinformatics analysis of cancer research projects in the Bioinformatics Core Facility and will work closely with Professor Ben Hogan in the Program for Organogenesis and Cancer, and other researchers at the Peter MacCallum Cancer Centre.

 

The Bioinformatics Core Facility aims to provide all levels of bioinformatics support to research laboratories within Peter Mac. The team of bioinformaticians and postdoctoral scientists at the core work alongside laboratory and clinical researchers and contribute to their experimental design, grant applications and the analysis and publication of genomic and transcriptomic data. The core also develops and maintains software infrastructure required for bioinformatics processing, including pipelines and cloud provision systems.

 

The successful candidate will have an Honour’s or Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Computer Science, or equivalent. The candidate will have strong computational skills and experience applying them in the analysis of genomic data.

 

Essential Requirements:

Qualification, experience and skills:

  • BSc with Honours or Masters in an appropriate area of study (such as Bioinformatics, Computational Biology, Systems Biology, or Computer Science), or relevant experience working with transcriptomic data
  • Excellent programming and data analysis skills in R and Python
  • Experience working in a Unix environment and shell scripting
  • Experience in bioinformatics and genomics research, such as working with next-generation sequencing data, transcriptomic and single-cell data 
  • Experience or keen interest in working on biological or biomedical problems

 

Transferable skills:

  • Proven interpersonal and collaborative skills in achieving research outcomes
  • Good verbal and written communication skills
  • Ability to work constructively within a cross-disciplinary team environment
  • Excellent attention to detail, ensuring that data analysis, new methods and software implementations are of high quality and accessible to other researchers
  • Ability to manage time effectively and be reliable and approachable
  • Willingness to take direction and have progress reviewed where required

 

Desirable skills:

  • Knowledge or basic training in cell and developmental biology or molecular genetics
  • Experience working with bioinformatics pipelines and analysis methods for genomics data
  • Experience working with high-performance computing (HPC) systems, or cloud computing
  • Experience with multi-omics data integration
  • Experience in data management
     

Applicants to this role should provide a covering letter outlining relative key skills and experience to assist us with our assessment.

 

Hiring Manager: Richard Lupat
Email: Richard.Lupat@petermac.org

Applications Close: 11:59PM Thursday 7th, November
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Position Summary

The primary responsibility of this role is to support the bioinformatics analysis of cancer research projects in the Bioinformatics Core Facility and will work closely with Professor Ben Hogan in the Program for Organogenesis and Cancer, and other researchers at the Peter MacCallum Cancer Centre.

 

The Bioinformatics Core Facility aims to provide all levels of bioinformatics support to research laboratories within Peter Mac. The team of bioinformaticians and postdoctoral scientists at the core work alongside laboratory and clinical researchers and contribute to their experimental design, grant applications and the analysis and publication of genomic and transcriptomic data. The core also develops and maintains software infrastructure required for bioinformatics processing, including pipelines and cloud provision systems.

 

The successful candidate will have an Honour’s or Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Computer Science, or equivalent. The candidate will have strong computational skills and experience applying them in the analysis of genomic data.

 

Qualification, experience and skills:
•    BSc with Honours or Masters in an appropriate area of study (such as Bioinformatics, Computational Biology, Systems Biology, or Computer Science), or relevant experience working with transcriptomic data
•    Excellent programming and data analysis skills in R and Python
•    Experience working in a Unix environment and shell scripting
•    Experience in bioinformatics and genomics research, such as working with next-generation sequencing data, transcriptomic and single-cell data 
•    Experience or keen interest in working on biological or biomedical problems

 

Personal qualities:
•    Proven interpersonal and collaborative skills in achieving research outcomes
•    Good verbal and written communication skills
•    Ability to work constructively within a cross-disciplinary team environment
•    Excellent attention to detail, ensuring that data analysis, new methods and software implementations are of high quality and accessible to other researchers
•    Ability to manage time effectively and be reliable and approachable
•    Willingness to take direction and have progress reviewed where required

Enterprise Agreement

Allied Health Professionals (Victorian Public Sector) (Single Interest Employers) Enterprise Agreement 2021-2025

Classification or Salary Range

1RA4-1RA6

Immunisation Risk Category

Immunisation Category C

Key Relationships

 

Internal •    Bionformatics Core Facility 
•    Organogenesis and Cancer Program
•    Computational Biology Program
•    Research Computing Facility (RCF)
•    Cancer Research Division staff and students
External Staff and students from other research institutes including WEHI and the University of Melbourne.

Skills

Essential Requirements 

Qualification, experience and skills:

•    BSc with Honours or Masters in an appropriate area of study (such as Bioinformatics, Computational Biology, Systems Biology, or Computer Science), or relevant experience working with transcriptomic data
•    Excellent programming and data analysis skills in R and Python
•    Experience working in a Unix environment and shell scripting
•    Experience in bioinformatics and genomics research, such as working with next-generation sequencing data, transcriptomic and single-cell data 
•    Experience or keen interest in working on biological or biomedical problems

Personal qualities:
•    Proven interpersonal and collaborative skills in achieving research outcomes
•    Good verbal and written communication skills
•    Ability to work constructively within a cross-disciplinary team environment
•    Excellent attention to detail, ensuring that data analysis, new methods and software implementations are of high quality and accessible to other researchers
•    Ability to manage time effectively and be reliable and approachable
•    Willingness to take direction and have progress reviewed where required

Desirable Requirements: •    Knowledge or basic training in cell and developmental biology or molecular genetics
•    Experience working with bioinformatics pipelines and analysis methods for genomics data
•    Experience working with high-performance computing (HPC) systems, or cloud computing
•    Experience with multi-omics data integration
•    Experience in data management

Key Accountabilities

Key Accountabilities  Demonstrated by / Key Performance Indicators 
1. Generation of high-quality data analysis through best practice bioinformatics and software development

•    Ability to carry out bioinformatics analysis tasks that fulfil the operational requirements of the Bioinformatics Core Facility 
•    Careful and precise implementation of analysis software in the R statistical environment, to be used by other team members in the computational lab
•    Generating appropriate visualisation of data through plots, HTML files or software packages
•    Generating high quality and efficient software codes 
•    Ability to troubleshoot and solve technical problems
•    Ability to critically interpret QC and analysis results
•    Ability to take direction and work independently 
•    Willingness to learn, and have progress reviewed
•    Willingness to assist as directed in data analysis with wet-lab research personnel
•    Well-developed planning and organizational skills
•    High level of integrity and ethics

2.  Communication of requirements and research outcomes

•    Provide a high standard of service and support to our stakeholders
•    Build and maintain strong working relationships with our stakeholders
•    Ability to communicate effectively with researchers, laboratory technicians, bioinformaticians and software developers
•    Ability to understand and analyse software and data analysis requirements
•    Participation in lab/team meetings
•    Presentation of results to other stakeholders
•    Excellent written and oral communication skills

3. Foster a good working relationship with colleagues

•    Development of a good working relationship with others both within the immediate teams, and within the Cancer Research Division
•    Demonstrated ability to work as part of a research team
•    Willingness to help others in the team as required

 

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For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position profile. Alternatively, please contact us for a confidential discussion.

 

 

Peter Mac requires its staff to be fully vaccinated against COVID-19. Please contact us if you would like to discuss this requirement.

 

 

WHY WORK FOR PETER MAC

 

  • Peter Mac offer a range of benefits which support our people both personally and professionally.
  • Our staff benefits include award winning facilities, professional development and events, a health and wellbeing program, flexible work practices and policies and financial benefits such as salary packaging.
  • We encourage applications from Aboriginal and Torres Strait Islander people, all members of the LGBTQI community and people with a disability.