Post-doctoral Researcher in Computational Biology
The Kirby Institute
- One of Australia’s leading research & teaching universities
- Vibrant campus life with a strong sense of community & inclusion
- Enjoy a career that makes a difference by collaborating & learning from the best
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
The Kirby Institute is a leading global research institute dedicated to the prevention and treatment of infectious diseases. Established in 1986 in response to the then emerging HIV epidemic, the Kirby Institute now contributes to knowledge on a broad range of diseases, including viral hepatitis and sexually transmissible infections.
About the role
- $73K-$98K plus 9.5% superannuation and leave loading
- Fixed Term (12 months, renewable for up to 3 years)
- Full-time (35 hours)
This position will focus on the development and application of bioinformatics and statistical approaches (including machine learning approaches) for analysing and interpreting single cell (scRNAseq), flow cytometry, and epigenetics data (ATAC-seq) of immune cells. This novel systems approach is currently being applied to the study of immune responses against viral infections (HCV, influenza), and adoptive cell transfer immunotherapies, such as CAR T-cells.
About the successful applicant
To be successful in this role you will have:
- PhD in computational biology, mathematics, biostatistics or related fields
- Highly developed skills in bioinformatics and/or computational biology
- Experience in Genomics and/or transcriptomics analyses
- Good knowledge and skills in languages, such as Python, R and C++
- Evidence of publications in influential, high-impact journals
- Ability to present research findings as evidenced by presentation at conferences or other seminars
- Excellent interpersonal, oral and written communication skills including demonstrated capacity to maintain effective professional relationships with a variety of stakeholders and from diverse backgrounds
You should systematically address all the selection criteria in your application.
A/Prof Fabio Luciani
T: (61 2) 9385 3838
Applications close: 19 June 2018