Postdoctoral Research Fellow in Metabolic: An exciting opportunity awaits an ambitious and talented research fellow with a passion for metabolic computational biology and bioinformatics for the study of proteomics and signal transduction. Working in a state-of-the-art laboratory alongside leading experts in the field, you will conduct cutting-edge research and contribute to ground-breaking discoveries. As part of our commitment to your professional development, you will have access to a range of opportunities to help you achieve your career aspirations. At the School of Biomedical Sciences, we foster a culture of collaboration, compassion, respect, integrity, and accountability, and we are eager to welcome a like-minded individual to our team who shares these values.
Designation: Level A (PhD qualified will be remunerated between A.6-A.8)
Research Area: Metabolic Proteomics and Signal Transduction
Location: University of Melbourne, Australia
Eligibility/Qualification: A completed PhD or substantial progress towards PhD in relevant area with demonstrated experience.
| Requirement |
|---|
| Completed PhD or substantial progress towards PhD in relevant area with demonstrated experience. |
| Demonstrated experience and expertise in statistical analysis of proteomics, transcriptomics, and/or genomics. |
| Ability to use R-Project, Python, and/or other programming languages for data analysis. |
| Demonstrated ability to apply data visualization methodologies to quantitative/qualitative data analysis. |
| Proven ability to work with senior researchers to design, perform and analyze experiments in a timely manner. |
| Demonstrated ability to articulate scholarly research through public presentations. |
| Excellent verbal and written communication skills for effective research collaboration and engagement. |
| Capacity to maintain accurate and detailed laboratory records and to develop outstanding written and verbal communication skills. |
| Demonstrated ability to manage competing priorities and excellent time management skills. |
Salary: $97,558 – $104,717 p.a
Superannuation: Employer contribution of 17%
Working Hours: Full time (1.0 FTE)
Basis of Employment: Externally funded research project fixed term for 2 years.
Other Benefits: https://about.unimelb.edu.au/careers/staff-benefits
Position Number: 0059349
Summary: The Research Fellow will work within Metabolic Proteomics and Signal Transduction Laboratory and perform supervised research on projects related to metabolism and signal transduction, with a strong focus on dysfunctions occurring in insulin resistance, metabolic and cardiovascular disease.
Key Responsibilities:
- Participate in research independently and as a member of a research team.
- Contribute to statistical data analysis using specialised programs such as R-Project, Python and/or other programming languages.
- Perform downstream analysis of proteomic data to study signal transduction and quantify dynamic changes in protein post-translational modifications.
- Perform multi-omic data analysis of transcriptomics and proteomics with an emphasis on long-read RNAseq-driven proteogenomics.
- Contribute to publications arising from scholarship and research, such as publication of books and in peer-reviewed journals.
- Active participation in the communication and dissemination of research where appropriate.
- Occasional contributions to teaching within the research field where appropriate.
What Looking For:
Research group is seeking candidates who can showcase their ability to communicate research effectively through public presentations and demonstrate excellent verbal and written communication skills for successful research collaboration. The ideal candidate should have outstanding time management skills and be capable of handling multiple priorities effectively, while maintaining detailed and accurate laboratory records.
Selection Criteria:
- A completed PhD or substantial progress towards PhD in relevant area with demonstrated experience.
- Demonstrated experience and expertise in statistical analysis of proteomics, transcriptomics, and/or genomics using R-Project, Python and/or other programming languages.
- Demonstrated ability to apply data visualisation methodologies to quantitative/qualitative data analysis.
- A proven ability to work with senior researchers to help design, perform and analyse experiments in a timely manner.
- Demonstrated ability to articulate scholarly research through public presentations.
- Demonstrated excellent verbal and written communication skills for effective research collaboration and engagement.
- The capacity to maintain accurate and detailed laboratory records and to develop outstanding written and verbal communication skills.
- Demonstrated ability to manage competing priorities and excellent time management skills.
How to Apply: Online applications are preferred. Go to http://about.unimelb.edu.au/careers, select the relevant option (‘Current Opportunities’ or ‘Jobs available to current staff’), then find the position by title or number.
Last Date for Apply: 04 May 2023 11:55 PM AUS Eastern Standard Time
