University of Melbourne, Mathematics & Statistics

534 26668
Position ID:
UniMelb-ROMICS [#26668]
Position Title:
R Software Developer in Omics (Research Fellow)
Position Type:
Postdoctoral
Position Location:
Melbourne, Victoria 3052, Australia
Subject Areas:
Omics, R Software, mixOmics, R package, mathematical and statistical characterization, statistical methods
Appl Deadline:
2025/07/21 11:59PMhelp popup** (posted 2025/06/19, listed until 2025/07/21)
Position Description:
   

Position Description

Role type:Full-time; Fixed-term for 2 years 
Faculty:  Science 
School: School of Mathematics and Statistics, Melbourne Integrative Genomics (MIG) 
Salary: Level A.4 - A.6 AUD $100,214 - $108,156 p.a. (the grade step of appointment is subject to qualification and experience) plus 17% super 

  • Contribute to frontier molecular technologies 

  • Apply now to shape the future of omics data integration and analysis tools 

  • Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.  

The University of Melbourne 
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.    

Your next career opportunity 
As an R software developer for the mixOmics toolkit, you'll play a crucial role in maintaining and expanding this widely used R package, developed by the Lê Cao Lab at the University of Melbourne. 

The lab has a multidisciplinary focus on mathematical and statistical characterization of molecular biological systems, and has expertise in developing statistical methods to answer new biological questions arising from frontier molecular technologies.  

mixOmics is a toolkit that implements 19 multivariate methods for the exploration and integration of “omics” data spanning from transcriptomics (the study of all transcripts) to microbiome data (the study of all bacteria), at tissue and single cell level.  

Thirteen of these methods have been developed by Lê Cao lab members. mixOmics has been ranked top 5% package in Bioconductor repository in the past 5 years (www.mixOmics.org).  

Besides the maintenance of the package, the software developer will work closely with members of Lê Cao lab to integrate their new methods in mixOmics 2.0 (e.g. timeOmics, LUPINE, phi-space), participate in collaborative data analyses with mixOmics when required, teach as a trainer in mixOmics workshops, and moderate the mixOmics discussion forum. The role will focus on mixOmics dissemination and requires engagement with the mixOmics users.  

There will be opportunities for methods development, and authorship peer-reviewed publications when suitable. 

 

Your responsibilities will include: 

  • Maintain and extend mixOmics: Develop and implement new features for the mixOmics R toolkit, ensuring its continued success as a top-ranked Bioconductor package. 

  • Collaborate and Communicate: Work closely with lab members to integrate new methods, participate in data analyses, and engage with mixOmics users through workshops and forums. 

  • Ensure Quality and Usability: Maintain the mixOmics website, respond to user queries, and implement best practices in software development to enhance user experience. 

  • Contribute to Research: Participate in lab meetings, collaborate with researchers from biological fields, and potentially contribute to peer-reviewed publications. 

You may be a great fit if: 

You are a skilled and enthusiastic R programmer with a strong background in bioinformatics or computational statistics, capable of maintaining and extending complex software packages while collaborating effectively in a multidisciplinary research environment.  

You may also: 

  • Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a related field. 

  • Have demonstrated experience in statistical programming in R and developing R packages. 

  • Possess experience in analysing high-throughput biological data. 

  • Have excellent communication skills and the ability to work both independently and as part of a team. 

  • Be proficient in version control using Github. 

For further information please refer to the attached PD. 

What we offer you! 
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: 

  • Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being 

  • Progressive, considerate leave provisions to empower your work-life balance 

  • Salary packaging and access to a range of discounted services including Bupa health insurance 

  • Health and well-being services including a leading Employee Assistance Program 

For more information check out our benefits page! 

Your new team – “Lê Cao lab, Melbourne Integrative Genomics (MIG)”  
https://sites.research.unimelb.edu.au/integrative-genomics  

Lê Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to omics profiling data to help understand genotype-to-phenotype process in humans and other organisms. MIG includes 50+ members, and provides a wide range of opportunities for exciting research collaborations. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and is among the greatest internationally.  

http://www.ms.unimelb.edu.au 

The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. 

 

Be Yourself 
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. 

The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.  To discuss your specific requirements, please feel free to contact Bec Tucker – 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.  You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers 

Aboriginal and Torres Strait Islander Applicants 
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. 

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring 

If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. 

Working at the University – what you need to know 
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. 

Please note: Visa sponsorship is available for this position.


Join Us and unlock your career potential! 

 
Is this the perfect opportunity for you? Apply today! Including the following documents: 

  • Resume 

  • Cover Letter outlining your interest and experience 

  • The responses against the Selection Criteria^ (found in the Position Description) 

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria 


If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. 

If you have any particular questions regarding the job please follow the details listed on the Position Description. 

APPLY: https://unimelb.wd105.myworkdayjobs.com/UoM_External_Career/job/Parkville/R-Software-Developer-in-Omics--Research-Fellow-_JR-000733

Applications close: ​21 July 2025 at 11:00 PM Australian Eastern Standard Time (AEST) / Melbourne time zone. 

Position Description:

JR-000733 R Software Developer in Omics (Research Fellow)_PD.pdf


We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://unimelb.wd105.myworkdayjobs.com/UoM_External_Career/job/Parkville/R-Software-Developer-in-Omics--Research-Fellow-_JR-000733 external link.
Contact: Professor Howard Bondell
Postal Mail:
School of Mathematics and Statistics
University of Melbourne
Parkville VIC 3010
Australia
Web Page: http://www.ms.unimelb.edu.au/