Research Associate for Statistical Bioinformatics

• 2 x full time, 3 year fixed-term opportunities
• Located on the Camperdown Campus at the School of Mathematics and Statistics
• Base Salary (Level A) $79K - $100K + 17% superannuation

About the opportunity

We are currently seeking to appoint two Research Associates for Statistical Bioinformatics to work on single cell multi-omics and spatial omics project from the University of Sydney. The successful applicant will be working in the School of Mathematics and Statistics and Charles Perkins Centre under the supervision of Prof Jean Yang and in collaboration with other academics at the Sydney Precision Data Science Centre.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for two Research associates for Statistical Bioinformatics who have:

• experience with low level processing or performing initial data analysis on recent platforms of omics data such as next generation sequencing or mass spectrometry
• superior computer programming or software development skills
• high-dimension data analysis experience
• demonstrated ability to conduct research / scholarly activities under limited supervision and as part of a multidisciplinary research team
• good communication skills (both written and oral).

Applicants who demonstrate the following desirable criteria will be highly regarded:

• experience with statistical genetics, deep learning or statistical modelling with preference to experience in analysing high-dimensional regression models and variable selection
• ability to assist researchers from other disciplines as well as work with PhD students within the statistics bioinformatics research group
• good organisational and administrative skills with attention to detail
• strong general IT skills, including familiarity with Linux/Unix environments and HPC server.

To apply, please submit a cover letter that addresses the following questions and attach it to your application:

1. Outline your skills in at least two computational languages with one of them preferably in R
2. Provide an example of your experience in high-dimension data analysis in omics data or in applied deep learning for imaging data

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Simon Drew, Recruitment Operations, Human Resources at recruitment.sea@sydney.edu.au

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 12 February 2023 11:59 PM