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SalaryAt 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
We are seeking a talented and motivated Bioinformatics Researcher to join our breast cancer research team. The successful candidate will work collaboratively with researchers, clinicians, and data scientists to develop and implement bioinformatics methods and algorithms to analyse large-scale genomics, proteomics, and imaging data for breast cancer research. The role requires a strong background in statistics, machine learning, programming, data analysis, and a keen interest in cancer biology.
The successful candidate will have a Master or higher degree in Computer Science, Bioinformatics, Biomedical Engineering, Statistics, or related fields
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: Sherene Loi
Contact Number: 03 8559 5935
Email: jeannette.parrodi@petermac.org
Applications Close: 11:59 pm 21st February 2024
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.
Position Summary
We are seeking a talented and motivated Bioinformatics Researcher to join our breast cancer research team. The successful candidate will work collaboratively with researchers, clinicians, and data scientists to develop and implement bioinformatics methods and algorithms to analyse large-scale genomics, proteomics, and imaging data for breast cancer research. The role requires a strong background in statistics, machine learning, programming, data analysis, and a keen interest in cancer biology.
The successful candidate will have a Master or higher degree in Computer Science, Bioinformatics, Biomedical Engineering, Statistics, or related fields.
Enterprise Agreement
Allied Health Professionals
Classification or Salary Range
1RA5 - 1RA10
Immunisation Risk Category
Immunisation Category C
Key Relationships
Internal: Scientists within the Translational Breast Cancer Lab (Loi Lab), Bioinformatics Core Facility and Research Computing Facility
Laboratories within the Research Division
External: NIL
Education
Skills
Essential Requirements:
- Master's degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Mathematics, Statistics, or related fields.
- Experience in cancer bioinformatics, such as bulk and/or single-cell DNA and RNA sequencing.
- Strong programming skills in Python and R.
- Strong knowledge of statistical techniques for big-data analysis and inferential statistics such as hypothesis testing.
- Ability to work collaboratively with a team and independently on assigned projects.
- Good verbal and written communication skills.
- Experience in high performance computing clusters and workload managers such as Slurm.
- Experience with workflow frameworks such as Nextflow, bpipe, etc.
- Familiarity with machine learning algorithms, frameworks, and libraries such as Databricks, TensorFlow, PyTorch, Scikit-learn, Keras, and OpenCV is desirable.
- Familiarity with genomics, proteomics, and imaging data analysis.
- Experience with cloud computing platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
- Strong problem-solving and analytical skills.
- Experience with version control systems such as Git.
- Knowledge of cancer biology, cancer immunology, precision medicine, and translational research.
Key Accountabilities
1. Bioinformatics data analysis for translational breast cancer research
- Work closely with the research team to develop and implement bioinformatics algorithms and statistical models to analyse large-scale genomics, proteomics, and imaging data for cancer research.
- Conduct data pre-processing, normalisation, and hypothesis testing.
- Develop and maintain code repositories and libraries for the team.
- Assist in data analysis, visualization, and reporting of results.
- Stay up to date with the latest developments in the field of bioinformatics, machine learning, cancer research, and precision medicine.
- Ability to communicate effectively with laboratory technicians and bioinformaticians.
- Ability to understand and analyse software and project requirements.
- Participation in lab meetings.
- Presentation of results to other members of the laboratory and broader research division.
- Excellent oral communication skills.
- Development of a good working relationship with others in the Loi Lab and Research Division.
- Willingness to help others in the team as required.
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.
