PRIMARY DETAIL
• Salary Package: Level 7 from 97,783 to 106,018 p.a., plus 17% employer’s Superannuation and annual leave loading
• Appointment Type: Full-time, fixed term up to 30 June 2023
• Macquarie University (North Ryde) location
THE ROLE
We are seeking an expert who is ready to join our Bioinformatics team as a Senior Analytical Technician. This role will be part of the Bioinformatics team at the Australian Proteome Analysis Facility (APAF) at Macquarie University. Reporting to the Bioinformatics Technology Manager you will:
- Contribute to the development and delivery of APAF's strategy, taking a role within the specialist stream of Bioinformatics
- Work with clients and APAF staff to develop and implement optimal Bioinformatics solutions and analysis ensuring that they operate in a robust, accurate, cost effective and timely manner
- Manage and contribute expert advice for the day to day operations, projects, initiatives and resourcing for Bioinformatics, ensuring a highly professional and effective service is provided to clients, team members, users and stakeholders
- Maintain knowledge, expertise and currency in sector trends and developments within Bioinformatics, working with stakeholders and the team to incorporate best practice and build protocols, capability and services.
- Assist in implementing, documenting and testing informatics methods, tools and capabilities
- Assist in validation and verification of tools and analyses to be used in NATA-accredited testing.
About Us
The Australian Proteome Analysis Facility (APAF) is a NATA accredited facility that provides high throughput, quality, national and international proteomics and protein chemistry research services in both fee-for-service as well as collaborative models for both academic and industry clients. The Facility operates modern functional proteomics and protein chemistry instrumentation integrated with in-house and commercial bioinformatics toolkits. The Facility has a mixed portfolio of activity including contract analysis, collaborative applied and fundamental research, training, and technology development to industry, government and the research community.
APAF is part of the Macquarie Analytical and Fabrication Facility (MAFF) which sits within the Faculty of Science and Engineering at Macquarie University. MAFF includes a highly diverse range of analytical instrumentation and research facilities which include, in addition to APAF, Macquarie GeoAnalytical (MQGA), Microscopy Unit, Chemical Analysis unit and the Macquarie Engineering Technical Services (METS).
To Apply
To be considered for this position, applicants must address the Essential Selection Criteria below in a separate document or covering letter and upload the document as part of the application process with their curriculum vitae.
Essential
- Degree (preferably a postgraduate degree) in bioinformatics, information technology, data science or related discipline, preferably with a deep understanding of systems biology, proteomics and/or protein analysis
- Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including in the use and implementation of proteomics analysis tools
- Experience in project design, analysis and providing bioinformatic/statistical solutions to analytical problems
- Strong communication skills including success working with experimental scientists to address specific research questions and/or provide solutions for specific research aims
- Practical experience in scripting languages, for example R, python or bash
Desirable:
- Skills in data visualisation and/or development of visualisation tools
- Knowledge of developing data algorithms for the analysis of large biological datasets
- Knowledge of how to integrate and develop statistical models from ‘omics’ data to predict biological outcomes such as disease state, severity, etc.
- Experience working in a NATA accredited laboratory, or a demonstrated understanding of NATA requirements for laboratory work.
Enquiries: Dr Belinda Schiller, Proteomics Facility Manager at [email protected]
If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close:
21/11/2021 11:59 PMEquity & Diversity Statement
At Macquarie University, we are committed to providing a working environment where each individual is valued, respected and supported to progress. Our priority is to ensure culture, policies and processes are truly inclusive and that no-one is disadvantaged on the basis of their Aboriginal and Torres Strait Islander identity, gender, culture, disability, LGBTIQA+ identities, family and caring responsibilities, age, or religion. We encourage everyone who meets the selection criteria and shares Macquarie University’s values of scholarship, empowerment and integrity to apply.
Learn more about our progress towards Equity, Diversity and Inclusion.
https://staff.mq.edu.au/work/diversity-inclusion
PRIMARY DETAIL
• Salary Package: Level 7 from 97,783 to 106,018 p.a., plus 17% employer’s Superannuation and annual leave loading
• Appointment Type: Full-time, fixed term up to 30 June 2023
• Macquarie University (North Ryde) location
THE ROLE
We are seeking an expert who is ready to join our Bioinformatics team as a Senior Analytical Technician. This role will be part of the Bioinformatics team at the Australian Proteome Analysis Facility (APAF) at Macquarie University. Reporting to the Bioinformatics Technology Manager you will:
- Contribute to the development and delivery of APAF's strategy, taking a role within the specialist stream of Bioinformatics
- Work with clients and APAF staff to develop and implement optimal Bioinformatics solutions and analysis ensuring that they operate in a robust, accurate, cost effective and timely manner
- Manage and contribute expert advice for the day to day operations, projects, initiatives and resourcing for Bioinformatics, ensuring a highly professional and effective service is provided to clients, team members, users and stakeholders
- Maintain knowledge, expertise and currency in sector trends and developments within Bioinformatics, working with stakeholders and the team to incorporate best practice and build protocols, capability and services.
- Assist in implementing, documenting and testing informatics methods, tools and capabilities
- Assist in validation and verification of tools and analyses to be used in NATA-accredited testing.
About Us
The Australian Proteome Analysis Facility (APAF) is a NATA accredited facility that provides high throughput, quality, national and international proteomics and protein chemistry research services in both fee-for-service as well as collaborative models for both academic and industry clients. The Facility operates modern functional proteomics and protein chemistry instrumentation integrated with in-house and commercial bioinformatics toolkits. The Facility has a mixed portfolio of activity including contract analysis, collaborative applied and fundamental research, training, and technology development to industry, government and the research community.
APAF is part of the Macquarie Analytical and Fabrication Facility (MAFF) which sits within the Faculty of Science and Engineering at Macquarie University. MAFF includes a highly diverse range of analytical instrumentation and research facilities which include, in addition to APAF, Macquarie GeoAnalytical (MQGA), Microscopy Unit, Chemical Analysis unit and the Macquarie Engineering Technical Services (METS).
To Apply
To be considered for this position, applicants must address the Essential Selection Criteria below in a separate document or covering letter and upload the document as part of the application process with their curriculum vitae.
Essential
- Degree (preferably a postgraduate degree) in bioinformatics, information technology, data science or related discipline, preferably with a deep understanding of systems biology, proteomics and/or protein analysis
- Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including in the use and implementation of proteomics analysis tools
- Experience in project design, analysis and providing bioinformatic/statistical solutions to analytical problems
- Strong communication skills including success working with experimental scientists to address specific research questions and/or provide solutions for specific research aims
- Practical experience in scripting languages, for example R, python or bash
Desirable:
- Skills in data visualisation and/or development of visualisation tools
- Knowledge of developing data algorithms for the analysis of large biological datasets
- Knowledge of how to integrate and develop statistical models from ‘omics’ data to predict biological outcomes such as disease state, severity, etc.
- Experience working in a NATA accredited laboratory, or a demonstrated understanding of NATA requirements for laboratory work.
Enquiries: Dr Belinda Schiller, Proteomics Facility Manager at [email protected]
If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close:
21/11/2021 11:59 PMEquity & Diversity Statement
At Macquarie University, we are committed to providing a working environment where each individual is valued, respected and supported to progress. Our priority is to ensure culture, policies and processes are truly inclusive and that no-one is disadvantaged on the basis of their Aboriginal and Torres Strait Islander identity, gender, culture, disability, LGBTIQA+ identities, family and caring responsibilities, age, or religion. We encourage everyone who meets the selection criteria and shares Macquarie University’s values of scholarship, empowerment and integrity to apply.
Learn more about our progress towards Equity, Diversity and Inclusion.
https://staff.mq.edu.au/work/diversity-inclusion
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