Applied Statistician / Postdoctoral Research Associate For Statistical Bioinformatics Or Statistical Genetics

• Full time, 2 year fixed-term opportunity with possible one year extension

• Located on the Camperdown Campus at the School of Mathematics and Statistics

• Base Salary (Level A) $83,454 - $112,462 + 17% superannuation 

About the opportunity

We are currently seeking to appoint an Applied Statistician/Postdoctoral Research Associate forStatistical Bioinformatics or Statistical Geneticsto work on a project at the University of Sydney. As indicated in the position titles, although a PhD is not a requirement, we are also willing to recruit someone interested in a Postdoctoral position.

The successful applicant will also be part of the Sydney Precision Data Science Centre and School of Mathematics and Statistics. We have a strong team working on various aspects of applied statistics and bioinformatics research.

In particular, we are interested in applying data science and applied statistics methods to solve intractable problems in medicine and digital health.

Your key responsibilities will be to:

• work independently and as part of a team to conduct data analysis on large-scale international biomedical datasets

• establish capacity in relationship to Global Biobank data including but not limiting to UK Biobank

• publish research papers in international peer-reviewed journals and present at conferences

• mentor undergraduate and postgraduate students.

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 a Applied Statistician/Postdoctoral Research Associatewho has:

• a strong Statistical Genetics background

• high-dimension data analysis experience

• demonstrated ability to conduct research / scholarly activities under limited supervision and as part of a multidisciplinary research team

• good organisational and administrative skills with attention to detail

• superior computer programming or software development skills

• good communication skills (both written and oral).

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

• experience in single cell data or Statistical modelling, with preference to experience in analysing high-dimensional regression models and variable selection experience with low level processing or performing initial data analysis on recent platforms of omics data such as next generation sequencing or mass spectrometry

• experience with statistics or biomedical data science consulting

• ability to assist researchers from other disciplines as well as work with PhD students within the statistics bioinformatics research group

• comprehensive experience of common online bioinformatics software and databases such as PRIDE, UniProt, GenBank or BLAST etc

• strong general IT skills, including familiarity with Linux/Unix environments and HPC server.

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.

Pre-employment checks

Your employment is conditional upon the completion of all roles 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

To apply, please submit a cover letter via the Apply button at the top of the page​ that addresses the following questions and attach it to your application:

1. Provide an example of your experience in high-dimension data analysis

2. Outline your computer programming or software development skills in a computational language.

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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 ***************@sydney.edu.au.

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

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