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Senior Bioinformatician – Cancer Research
3 months ago
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
Senior Bioinformatician - Bioinformatics Core Facility, Cancer Research Division
• Fixed-Term, Full time, 2 year position
• 1SR4-1SR7, depending on experience
This position requires a senior bioinformatician to support single-cell and spatial protein and transcriptomics bioinformatics for several clinical research projects that are focused on understanding the tumour immune microenvironment.
This role will be required to work closely with lab researchers and clinicians to address research questions in the fields of melanoma, merkel cell carcinoma and prostate cancer research. This position presents an opportunity to analyse data derived from several unique, novel immunotherapy studies and clinical cohorts. This position will undertake bioinformatics research to optimise analysis methodologies and leverage existing knowledge and resources from other bioinformatics core team members to streamline development and data processing.
Key responsibilities include, but not limited to:
• Working with lab and clinician researchers to support the design and implementation of new analysis and workflow solutions on a range of genomics and transcriptomics data, including single-cell RNA and spatial data
• Aid experimental design, analyse and interpret QC data of sequencing experiments
• Optimise workflows and pipelines for routine data processing
The successful candidate will have a PhD in Computational Biology, Systems Biology, Computer Science, Bioinformatics, or equivalent. The candidate will have three or more years of experience in the field of human cancer bioinformatics.
Applicants to this role should provide a covering letter, resume and response to selection criteria outlining relative key skills and experience to assist us with our assessment.
For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position summary. Alternatively, please contact us using the information below for a confidential discussion.
Hiring Manager: Jason Li
Email: Jason.Li@petermac.org@petermac.org
Applications Close: 11:59 pm 12th September 2024
Position Summary
This position requires a senior bioinformatician to support single-cell and spatial protein and transcriptomics bioinformatics for several clinical research projects that are focused on understanding the tumour immune microenvironment.
This role will be required to work closely with lab researchers and clinicians to address research questions in the fields of melanoma, merkel cell carcinoma and prostate cancer research. This position presents an opportunity to analyse data derived from several unique, novel immunotherapy studies and clinical cohorts. This position will undertake bioinformatics research to optimise analysis methodologies and leverage existing knowledge and resources from other bioinformatics core team members to streamline development and data processing.
Key responsibilities include, but not limited to:
• Working with lab and clinician researchers to support the design and implementation of new analysis and workflow solutions on a range of genomics and transcriptomics data, including single-cell RNA and spatial data including immune cell characterisation
• Aid experimental design, analyse and interpret QC data of sequencing experiments
• Optimise workflows and pipelines for routine data processing
The successful candidate will have a PhD in Computational Biology, Systems Biology, Computer Science, Bioinformatics, or equivalent. The candidate will have three or more years of experience in the field of human cancer bioinformatics.
Enterprise Agreement
Allied Health Professionals (Victorian Public Sector) (Single Interest Employers) Enterprise Agreement 2021 - 2025
Classification or Salary Range
1SR4 -1SR7 (depending on experience)
Immunisation Risk Category
Category C: Position within a non-clinical setting
Key Relationships
Internal • Bioinformatics Core Facility
• Molecular Genomics Core Facility
• 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:
• PhD in an appropriate area of study (such as Bioinformatics, Computational Biology, Systems Biology, Computer Science, or Software Engineering)
• Minimum of three-year relevant experience with exposure to the analysis of next-generation sequencing data for human disease research
• Strong experience in high-throughput transcriptomics/ RNA-sequencing and single-cell sequencing technologies
• Experience in analysis of immune cell characterisation from spatial and/or single cell data is preferable
• Strong experience in spatial profiling technologies
• Strong academic track record demonstrated by publications and grant applications
• Experience in whole-genome and whole-exome sequencing related bioinformatics techniques
• Excellent programming and data analysis skills in R and Python
• Experience working in a Unix environment and shell scripting
• Exceptional 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
Desirable Requirements
• Pipeline development and frameworks such as Nextflow
• Experience working with high-performance computing (HPC) systems, or in a cloud computing environment
Key Accountabilities
1. Design and implement bioinformatic analysis solutions to support core facilities operations
- Throughput and efficiency in analysis workflow development.
- Accuracy and quality in the processing and analysis of data.
- Ability to optimize utilisation of resources, taking into consideration compute, storage and budget.
- Adhere to best practice in code and project documentation.
- Ability to troubleshoot and solve technical problems
- Ability to critically interpret QC and analysis results
- Well-developed planning and organizational skills.
2. Communication of requirements and 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 in the Core Facility and Research Division.
- Ability to work in a team.
- Willingness to help others in the team as required.
- High level of integrity and ethics.
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.